Nikhilraj Biyyani
SAP BODS Senior Consultant
Email: ****************@*****.***
Mobile: +1-945-****-***
LinkdIn: www.linkedin.com/in/nikhilraj-biyyani-4b3a2078
Experience Summary
I have around 12 years of extensive experience in SAP BODS, I have end-to-end data migration experience over 6 years in SAP ECC, S/4HANA, and Central Finance (CFIN), Ariba, including migrations from non-SAP legacy systems.
Expert in designing and implementing scalable ETL frameworks using SAP BODS, Information Steward, and SQL Server to enable seamless data integration and transformation across complex SAP environments.
Led full data migration lifecycles encompassing data extraction, transformation, cleansing, value mapping, and the generation of load-ready files using tools such as LTMC, LSMW, BAPI, IDocs, and SAP Migrate Your Data App.
Executed large-scale migrations of Customer, Vendor, and Material Master data, applying Customer-Vendor Integration (CVI) logic, partner function setups, and reconciliation validations within S/4HANA landscapes.
Skilled in enforcing data quality through SAP HANA Search, Match-Merge, Address Cleansing, and data profiling using Information Steward, ensuring accurate, de-duplicated, and standardized master data.
Developed reusable workflows, dataflows, and advanced transforms—including Validation, Case, Merge, Map Operation, Pivot, and Table Comparison—handling diverse sources like flat files, SQL Server, Oracle, and SAP ECC.
Configured and managed BODS job scheduling and monitoring via Data Services Management Console (DMC), including repository configuration, audit log tracking, and alert-driven validations.
Built and maintained Data Services repositories with secure environment segregation for version control and smooth promotion from development to production.
Integrated SAP BODS with IDocs, RFCs, ABAP Function Modules, and custom user exits for DEBMAS and CREMAS processes, enhancing field-level validations and exception handling capabilities.
Over 7 years of hands-on experience in SAP BODS Administration, leading end-to-end upgrades, migrations, installations, and configurations across versions including BODS 4.2/4.1/3.2/3.1/6.1, Data Integrator (BODI 11.5/6.5), and SYNITI, ensuring high availability, performance tuning, and patch management in complex enterprise environments.
Skilled in data integration and ETL across SAP and non-SAP systems, with 6+ years as an SAP BODS & SAP MM Consultant, enabling seamless material master, vendor, and procurement data migration and transformation in support of SAP MM, SD, FI, and WM modules.
Proven 2 years of specialization in SAP Procure-to-Pay (P2P) processes, managing the complete lifecycle of procurement, vendor onboarding, invoicing, and payments, ensuring process optimization through strong cross-module integration and automation.
4 years of experience in Informatica PowerCenter and Informatica IICS, delivering robust ETL solutions for enterprise data warehousing, while supporting SAP data migration projects and hybrid data flows between SAP HANA, ECC, and external platforms.
Collaborated closely with cross-functional SAP teams (FI, SD, CVI) to finalize business rules, align functional mappings, and plan cutover activities.
Possess strong knowledge of SAP Rapid Data Migration, SAP SLT integration, and handling real-time IDoc-driven S/4HANA data loads using staging and alias (Z_DS) tables.
Proficient with tools like JIRA, ServiceNow, and TFC for effective issue tracking, test case management, and deployment coordination within Agile project frameworks.
Successfully led onsite delivery for REHAU Germany, managing master data migration streams, engaging directly with business stakeholders, and ensuring smooth go-live coordination between German and offshore teams.
Skills Summary
Technical skills
SAP BODS(Data services, Data Migration), SQL Server, SAP S/4HANA, LTMC, FIORI, LSMW, IDoc’s handling
Tools & Technologies
SAP Data Services Designer, SAP ECC, SAP S/4HANA, Microsoft SQL Server, SSIS, DataStage, ETL Informatica, SAP SLT, Talend, IICS
SAP Functional knowledge:
SAP SD, Customer Vendor Integration (CVI), Central Finance (CFIN) mapping
Reporting Tools
SSRS, POWER BI, SAP Business Objects, Webi
ERP Systems
SAP ECC, SAP S/4HANA (Business Partner, CVI, CFIN Integration)
Education:
Bachelor of Technology (Engineering) from JNTU HYDERABAD.
Certification:
Microsoft certified: Azure fundamentals (AZ-900)
Microsoft Power BI Data Analyst (PL-300)
Experience:
Sygniti Technologies (Dallas, Texas) – April 2025 to Present
Designation: SAP BODS Senior Consultant
Freight Metrics Dashboard Project
Role: SAP BODS Developer / Data Migration Specialist
Developed and optimized SAP BODS ETL jobs to analyse data patterns, potential duplicates, enforce business rules, and maintain data integrity across financial and operational datasets.
Designed and implemented an internal Freight Performance Metrics Dashboard using SAP BODS, improving visibility into key logistics KPIs like freight cost per shipment, on-time delivery %, and carrier performance index.
Developed robust ETL pipelines in SAP BODS ETL to extract, transform, and load shipment and cost data from SAP ECC LE-TRA modules (VTTK, VTTP, LIKP, EKBE) into SQL Server for reporting.
Applied transformation logic to calculate average transit time, freight cost as % of sales, and claims ratio, improving supply chain analysis readiness.
Built modular BODS jobs using data flows, lookup/transformation functions, and reusable scripts, ensuring high maintainability and reusability.
Collaborated with internal logistics and finance teams to define metrics and validate business rules for KPI computation and data accuracy.
Created structured fact and dimension tables to support reporting tools like Power BI, enabling dynamic dashboard views for decision-makers.
Documented data lineage, business logic, and job orchestration for internal stakeholders; conducted a demo showcasing value from historic freight data analytics.
LTIMINDTREE (Bangalore, India) – JANUARY 2024 TO MARCH 2025
Designation: Specialist Package Implementation
Project: REHAU CFIN Data Migration – Germany (January 2024 – March 2025)
Responsibilities:
Developed a scalable integration framework combining SAP BODS and LTMC to migrate financial and master data objects (Customer, Vendor, GL, Material) into S/4HANA Central Finance.
Configured and maintained LTMC alias tables and staging structures, ensuring proper object sequencing, accurate field mappings, and dependency management across complex entities.
Led the end-to-end data migration for REHAU’s SAP CFIN rollout by integrating SAP BODS, SAP Information Steward, and LTMC to achieve high-quality, governance-compliant data transformations.
Collaborated onsite with REHAU’s Germany Finance and IT teams to gather migration requirements, analyze legacy data models, and finalize transformation and mapping rules.
Designed SAP BODS ETL workflows incorporating data profiling, cleansing, and deduplication to resolve inconsistencies in customer and vendor records before migration.
Executed Business Partner migration leveraging Customer-Vendor Integration (CVI), aligning legacy ECC structures with S/4HANA BP standards.
Applied robust data quality rules including Validation, Lookup, Table Comparison, and Hierarchical Flattening to detect structural errors, missing configurations, and invalid values.
Configured LTMC for object-specific data loads, monitored execution logs, and managed iterative mock migration cycles to refine transformation logic and validate field mappings.
Performed detailed field and value mapping in collaboration with cross-functional teams to ensure complete master data alignment with S/4HANA CFIN requirements.
Conducted root cause analysis of load failures such as missing tax codes, region mappings, and transport zone mismatches, working closely with configuration teams to address gaps.
Integrated SAP BODS ETL workflows with SAP Application Interface Framework (AIF) for real-time error monitoring and automated reprocessing of failed records during IDoc-based migration.
Facilitated mock migrations in QA and Sandbox environments, continuously refining transformation logic to ensure cutover readiness and migration success.
Applied Master Data Management (MDM) principles to maintain master data consistency and enforce enterprise data standards post-migration.
Optimized job executions using Pushdown SQL, Bulk Load, and Parallel Processing techniques, significantly accelerating high-volume data loads.
Delivered business-oriented demos showcasing data cleansing, de-duplication logic, and governance achievements to enhance user adoption and stakeholder confidence.
Served as a key liaison between onshore and offshore teams, managing deliverables, prioritizing critical issues, and driving continuous improvement throughout the migration lifecycle.
Ernst & Young LLP (Bangalore, India) – April 2023 to November 2023
Designation: SAP BODS Senior Consultant
Project Name: Sigma – Aldrich (Merck) – ERP Data Migration
Responsibilities:
Designed and developed SAP BODS ETL workflows to extract data from SQL databases and flat files (Excel, CSV, TXT), transforming it into SAP ECC-compatible formats.
Executed Master Data Migration for Customers and Vendors using IDoc-based processes (DEBMAS and CREMAS), ensuring data integrity and structural compliance.
Managed transactional data migration through LSMW and custom Z-tables for Customer Licenses, Partner Functions, Open Sales Orders, and Open Purchase Orders, carefully handling object dependencies and sequencing.
Applied critical BODS transforms such as Merge, Table Comparison, and Map Operation to establish parent-child relationships and maintain referential integrity in complex data loads.
Developed and implemented field and value mapping frameworks with integrated data validation, collaborating closely with business and functional teams.
Utilized BODS data cleansing, validation, and lookup transforms to eliminate errors including duplicates, missing references, and formatting inconsistencies.
Enhanced ETL performance by leveraging parallel processing, batch execution, and Pushdown SQL, resulting in improved throughput for large data volumes.
Built resilient rollback and reprocessing mechanisms to manage IDoc failures, LSMW rejections, and transactional discrepancies, ensuring audit compliance and traceability.
Created real-time exception tracking dashboards using BODS Audit Logs and custom SQL reports, enhancing visibility into load progress and data quality issues.
Conducted multiple mock load cycles in Sandbox and QA environments to refine transformation logic and secure business approval for production go-live.
Designed post-migration reconciliation scripts utilizing SAP HANA SQL and ECC report comparisons to verify data accuracy and completeness.
Improved ETL efficiency through repository cleanup, bulk load methods, and job performance tuning.
Collaborated with Data Object Owners and stakeholders to validate mappings, finalize transformation rules, and ensure smooth migration cycles into production.
COGNIZANT TECHNOLOGIES (Hyderabad, India) - FEBRUARY 2022 to FEBRUARY 2023
Designation: Projects - Associate
Project Name: KUBOTA TRACTORS – Data Warehouse Data Migration
Responsibilities:
Designed and executed data migration using SAP Migration Cockpit (LTMC) with standardized templates for master and transactional data, including Customer, Vendor, GL, and Material Master.
Validated and optimized field mappings and dependencies in LTMC to ensure error-free uploads aligned with S/4HANA data models.
Monitored and analyzed migration logs to identify errors, coordinating with functional consultants to resolve data and configuration mismatches.
Applied consistent transformation rules across multiple entities in LTMC to maintain data integrity and reusability.
Resolved migration errors by correcting mapping files, aligning domain values, and addressing missing configurations (e.g., tax codes, payment terms).
Managed migration cycles using LTMC job tracking, ensuring smooth handoffs between development, QA, and production environments.
Developed scalable ETL workflows in SAP BODS to extract, transform, and load data from legacy sources (Oracle, DB2, SQL Server, Flat Files) into S/4HANA.
Extracted and transformed master and transactional data, including Material Master, Vendor, Customer, GL, AP/AR, and Invoices, before loading into S/4HANA.
Created SAP HANA staging layers for pre-validation, cleansing, and transformation of legacy data.
Implemented Change Data Capture (CDC) and delta load mechanisms to enable incremental migration and minimize system downtime.
Designed dependency handling to sequence data loads for header and line-item relationships, maintaining referential integrity in invoice transactions.
Utilized hierarchical flattening, table comparison, and pivot transforms in BODS to convert complex legacy data into S/4HANA-compatible formats.
Configured LTMC migration templates for various objects, ensuring accurate field mappings and data validation prior to execution.
Executed pre-migration data quality checks using BODS Lookup, validation, and cleansing transforms to eliminate errors early.
Developed robust error handling and rollback mechanisms within BODS for efficient failure tracking and reprocessing.
Automated data reconciliation reports using SAP HANA stored procedures and BODS ETL audit logs to ensure source-target consistency.
Performed full and delta load cycles, optimizing performance with Pushdown SQL and Bulk Load techniques.
Collaborated closely with SAP functional teams to resolve mapping issues and validate migrated records in ACDOCA, BKPF, and BSEG tables.
Conducted post-migration validations by comparing S/4HANA data against legacy systems to ensure 100% accuracy and compliance.
CYBAGE SOFTWARE PVT LTD (Pune, India) - January 2019 to January 2022
Designation: Senior Production Engineer
Project 1: Singapore postal Limited (Sing Post) January 2019 - May 2020
Responsibilities:
Developed and maintained SAP BODS ETL jobs for seamless data integration between SAP ECC, SQL SERVER, Oracle and flat files into the enterprise SAP HANA based Data Warehouse.
Provided L2/L3 production support ensuring continuous operation of data extraction, transformation and loading (ETL) workflows with minimal downtown.
Implemented job monitoring, Error Handling and Auto-Recovery Mechanisms using Audit Logs, Exception Handling Scripts and Email notifications to proactively resolve issues.
Optimized SAP BODS ETL Job Performance by leveraging Pushdown SQL, Parallel Processing, Bulk Loading and Index Optimization reducing data processing time by 35%.
Designed Delta Load strategies using Table comparisons, Map-Operation and Key Generation to efficiently track and update warehouse product quantities and shipping data.
Integrated SAP Migration Cockpit, IDoc’s, BAPI, and RFC Calls within SAP BODS ETL for real-time data processing and seamless SAP system connectivity.
Configured Data Services Management Console for job Scheduling, Repository Management and System Monitoring ensuring high availability.
Developed complex transformation logic using Query, case, Merge and Hierarchy Flattening Transforms for accurate data standardization and enrichment.
Designed Data Profiling and Data Cleansing strategies using SAP BODS Data Quality Transforms (Match-Merge, Address cleansing- and Data Parsing) to improve data accuracy and compliance.
Automated Daily and Monthly Warehouse Stock Tracking Reports using BODS_SAP HANA Procedures, enabling real-time inventory visibility.
Collaborated with business teams, data architects and SAP Basis teams to implement performance tuning, system upgrades and process enhancements.
Provided post-implementation support, troubleshooting job failures, optimizing memory usage and resolving data inconsistencies to ensure smooth operations.
Project 2: Digital River (DR)
June 2020 – January 2022
Responsibilities:
Engineered and optimized SAP BODS ETL pipeline to seamlessly extract, transform, and load high-volume payment transactions from multiple sources, including Visa, MasterCard, PayPal, wire Transfer, and ACH networks, into SAP financial systems.
Developed real-time and batch data integration solutions, enabling accurate tracking of settlements, refunds, and chargeback and multi-currency transactions while ensuring minimal data latency.
Implemented and fine-tuned key SAP BODS ETL transactions, including Query, Table Comparison, key Generation, Merge, Validation and History Preserving Transforms, to streamline data cleansing, aggregation and enrichment.
Automated payment reconciliation workflows, ensuring accurate matching of transaction ID’s settlement records, and FX rate conversions between payment providers and internal finance systems.
Designed robust fraud detection mechanisms using Conditional filtering, hierarchical flattening and lookup transformations, improving real-time fraud detection accuracy.
Integrated SAP BODS with REST/SOAP APIs, enabling secure and dynamic payment gateway connections, reducing API failure rates by 30% through enhanced schema adaptability.
Optimized ETL job performance by implementing Pushdown SQL, Parallel Processing, Bulk Load Techniques and Partitioning Strategies reducing batch processing time by 50%.
Enhanced error handling and logging by configuring audit tables exception-handling workflows and notification triggers ensuring high availability and faster incident resolution.
Beckton, Dickinson and Company (BD) – July 2013 to January 2019 (Chandigarh, India)
Project: BD ESR Implementation
Role: Senior Enterprise Data Warehouse Developer
Domain: Healthcare
Key Responsibilities & Technical Contributions
• Designed and developed complex ETL pipelines in SAP BODS 4.2 for full and delta loads, extracting data from SAP ECC (tables like KNA1, LFA1, MARA, BKPF), Oracle ERP, and SQL Server into SAP HANA.
• Implemented Change Data Capture (CDC) using table comparison transforms and timestamp logic to sync near real-time data from operational sources into the HANA data warehouse.
• Optimized BODS data flows and workflows by redesigning bottleneck transforms, pushing complex operations to the database (Pushdown SQL), and restructuring mappings to minimize row-by-row processing.
• Integrated IDocs (DEBMAS, CREMAS, MATMAS), RFCs, BAPIs, and REST/SOAP Web Services within BODS using SAP Applications datastore for two-way communication with SAP ECC.
• Applied advanced performance tuning techniques, such as partitioning datasets for parallel processing, tuning cache sizes, memory management, and enabling bulk loading in target systems—resulting in a 30–40% reduction in job execution times.
• Built a robust ETL framework with parameterized jobs, reusable global variables, custom functions, and audit logs, supporting modular and scalable design across multiple load scenarios.
• Managed master data migrations using SAP LTMC and Migration Cockpit: built reusable Excel templates, populated them programmatically via BODS, and validated transformations against S/4HANA field mappings.
• Standardized LTMC templates and transformation logic for Customer, Vendor, and Material master migrations across multiple regions and business entities.
• Resolved LTMC errors proactively by tracing logs, analyzing field-level mismatches (e.g., tax codes, payment terms), correcting invalid domain values, and consulting with SAP functional teams.
• Created reusable transform libraries for CVI-based Customer/Vendor integrations, streamlining BP creation, number range handling, and contact-person mapping.
• Enabled delta load strategies by maintaining historical snapshots and implementing table comparison-based loads to reduce overhead and ensure accurate delta data propagation.
• Automated job execution and scheduling using DMC, with job chaining, success/failure triggers, and recovery steps for improved manageability and throughput.
• Developed custom SQL transformations and database procedures to perform complex joins, aggregations, and data reshaping not possible within standard BODS transforms.
• Configured and applied Data Quality Transforms, including Address Cleanse and Match-Merge, for removing duplicates and standardizing customer/vendor records.
• Maintained version control using Data Services central repository, tracking job revisions, maintaining backup versions, and documenting deployment-ready packages.
• Led performance benchmarking and tuning efforts, including execution profiling, throughput monitoring, and memory usage optimization, to meet SLAs and volume requirements.
• Provided go-live hypercare support, resolved post-deployment load failures, monitored jobs, and verified reconciliation reports to ensure consistency between source and target.
• Ensured regulatory compliance by applying field-level data masking, audit logging, and ensuring secure data handling in accordance with HIPAA and GDPR standards.