Data Engineering & Platform Manager resume

NARESH CHINTHAMANI

Chicago, IL ***********@*****.*** +1-614-***-**** linkedin.com/in/nchinth

PROFESSIONAL SUMMARY

Hands-on Data Engineering & Platform Manager and Architect with 20+ years of enterprise experience leading technical teams, architecting cloud-native data platforms, and driving data governance in regulated healthcare and life sciences environments. Proven expertise in end-to-end enterprise Databricks platform administration (Unity Catalog, Delta Lake, Workflows, Lakehouse architecture), Azure data services (ADF, ADLS Gen2, Synapse, Azure SQL), and ERP/CRM integration. Recognized for scaling high-performing engineering teams, enforcing rigorous data quality and lineage standards, optimizing cloud costs, and delivering robust medallion architecture pipelines.

CORE COMPETENCIES & TECHNICAL SKILLS

● Platform Administration & Architecture: Databricks Platform Administration, Unity Catalog, Delta Lake, Lakehouse Architecture, Workflows, Compute & SQL Warehouses, Cluster Management, Performance Tuning, Cost Optimization.

● Cloud & Data Services: Azure (Data Factory, Data Lake Storage Gen2, Synapse Analytics, Azure SQL), AWS (S3, EMR, Redshift, Glue), Snowflake, Docker, Kubernetes, Terraform (IaC).

● Data Engineering & Pipelines: Python, PySpark, Scala, Advanced SQL, ERP & CRM Integration, Metadata-Driven ETL/ELT Frameworks, Medallion Architecture, Dimensional Modeling (Star/Snowflake Schemas), dbt, Apache Kafka, Airflow.

● Governance, Security & Leadership: Data Governance, Quality, Lineage, Enterprise Data Security, RBAC/ABAC Access Controls, ISO-Regulated Environments, Technical Team Leadership, Mentorship & Performance Management. PROFESSIONAL EXPERIENCE

TAKEDA Pharma Manufacturer Chicago, IL

Data Engineering & Platform Lead Mar 2023 – Present

● Enterprise Databricks & Azure Platform Leadership: Directly managed and operated the enterprise Databricks platform within a regulated life sciences environment, integrating core Azure data services including Azure Data Factory (ADF) for pipeline orchestration, Azure Data Lake Storage Gen2 (ADLS Gen2) for scalable medallion storage, Azure Synapse Analytics, and Azure SQL.

● ERP & Operational System Integration: Architected and engineered robust, automated data pipelines seamlessly integrating enterprise ERP platforms (such as SAP and Microsoft Dynamics/GP) and CRM systems into the Databricks Lakehouse to power downstream analytics and AI use cases.

● Governance, Security & Architecture: Established enterprise data governance, quality, lineage, and security standards using Databricks Unity Catalog, enforcing rigorous role-based and attribute-based access controls (RBAC/ABAC) for strict regulatory compliance.

● Cost Optimization & Reliability: Continuously monitored platform and pipeline reliability while optimizing Azure compute resources and storage tiers, achieving $1.8M in annual cloud spend savings while maintaining 99.9% availability.

● Infrastructure & Team Mentorship: Led, mentored, and developed a cross-functional team of data engineers, implementing modular infrastructure-as-code using Terraform, Docker, and Kubernetes, and establishing engineering standards that reduced production defect rates by 30%.

● Directly manage and operate the enterprise Databricks platform in a global regulated life sciences environment, administering Unity Catalog, cluster management, workspace configurations, compute resources, SQL warehouses, and IAM access controls.

● Architect and build robust, reliable data pipelines integrating complex ERP, CRM, and operational source systems into a scalable Databricks Lakehouse utilizing medallion architecture and incremental processing frameworks.

● Establish and enforce enterprise data architecture, governance, quality, lineage, and security standards, implementing robust RBAC/ABAC controls via Unity Catalog for strict regulatory compliance.

● Partner closely with analytics, AI, and finance leaders to translate business requirements into scalable, high-availability data solutions and guide the broader data and AI roadmap.

● Engineered modular infrastructure-as-code using Terraform, Docker, and Kubernetes to support automated deployment and scaling.

NIELSEN Chicago, IL

Lead Data Engineer Jul 2018 – Mar 2023

● Enterprise Infrastructure Modernization: Led technical strategy and architecture to modernize legacy monolithic analytics systems into high-throughput Apache Spark and AWS batch/streaming cloud platforms handling multi-terabyte datasets with zero downtime.

● Data Modeling & Feature Engineering: Designed reusable logical and physical data models, metadata-driven ETL/ELT integration frameworks, and feature stores in close collaboration with Data Science teams to accelerate machine learning model deployment.

● Performance Tuning & Optimization: Reduced pipeline execution runtimes by 40% through advanced Spark partition tuning, memory optimization, broadcast joins, and SQL rewrite strategies.

● Data Quality Tooling: Implemented automated data quality validation tooling and exception-handling frameworks to ensure incoming client telemetry data conformed to expected business schemas.

● Stakeholder & Agile Leadership: Partnered with product owners, business analysts, and domain SMEs to translate complex business rules into actionable technical backlogs, prioritizing epics and sprint tasks in Jira.

DISCOVER FINANCIAL SERVICES Riverwoods, IL

Senior Data Engineer May 2017 – Jul 2018

● Hybrid Cloud Data Systems: Developed high-availability streaming and batch data platforms using Python, SQL, and AWS infrastructure while strictly enforcing financial security policies, audit compliance, and end-to-end data lineage tracking.

● Self-Serve Platform Enablement: Designed reusable self-serve data platform tooling and formal data contracts, enabling cross-functional engineering teams to safely discover, model, and deploy data pipelines with minimal operational friction.

● Data Ingestion & Event Processing: Engineered event-driven streaming solutions consuming transactional data, enabling near-real-time financial auditing and reporting capabilities across retail banking operations.

● Regulatory Compliance & Auditing: Worked closely with risk and compliance officers to implement column-level encryption and strict access logging for personally identifiable information (PII) data assets.

ANZ BANK

Data Engineer (Hadoop / Spark) Dec 2015 – Apr 2017

● Data Lake Pipeline Ownership: Owned design and delivery of data lake pipelines for real-time and batch ingestion from heterogeneous source systems using Spark, Scala, Hive, Kafka, and Impala.

● Performance Tuning & Optimization: Improved rule execution and transformation performance by 10X across complex investment banking data pipelines.

● High-Throughput Data Ingestion: Designed and developed highly scalable, fault-tolerant ingestion pipelines processing over 20 million records per day.

● Parallel Connection Load Testing: Built a concurrent load-testing framework to simulate parallel connection stress on cluster nodes and optimize resource allocation.

● Cluster & Spark Administration: Configured Spark applications over Spark UI for memory optimization, Garbage Collection (GC) tuning, executor allocation, write-ahead logs, and checkpointing.

● Security & Regulatory Compliance: Implemented Kerberos token authentication and delegation token mechanisms to secure Spark jobs; generated critical regulatory reporting and risk analysis data streams for investment banking operations.

● Agile Scrum Leadership: Facilitated daily standups, backlog grooming, and sprint planning as part of an Agile development process to ensure timely delivery of high-quality software iterations.

SUMTOTAL SYSTEMS Hyderabad, India & Gainesville, FL Project Lead( ETL& Business Intelligence) Nov 2012 - Oct2015

● Database Replication & Delta Load Architecture: Implemented SQL Server transactional replication between core HCM systems and reporting environments; designed custom functions and views using SQL Change Tracking (CT) to capture incremental data changes.

● ETL & Reporting Packages: Engineered SSIS packages for full and incremental data loads; created custom iReports, JasperDomains, Ad-hoc views, and dashboards in Jaspersoft Server for learning management metrics.

● Operational Customer Support Leadership: Managed hosted and premise customer issues across a base of 3,000+ client installations, consistently keeping ticket backlogs below 25 while resolving critical P0/P1 escalations within aggressive SLA windows.

● Root Cause Analysis (RCA): Performed deep-dive RCA on recurring performance bottlenecks, implementing targeted database index tuning and script fixes to reduce total incoming customer ticket volumes.

● Spark Development: Authored custom Spark scripts using Spark SQL to query Hive tables for fast, distributed processing.

FARM CREDIT CANADA / IBM Hyderabad, India

Senior Systems Engineer / BI Lead Developer Oct 2010 – Nov 2012

● Enterprise Data Warehouse (EDW) Design: Designed dimensional data models (star and snowflake schemas) and engineered high-volume SQL ETL workflows using SAP BODI/BODS and SSIS, cutting daily batch runtimes by 35%.

● Automated Data Validation: Created automated SQL validation scripts to compare target and source systems daily, streamlining ETL QA cycles and ensuring accurate data transformations.

● Defect Tracking & Deployment: Managed testing defect lifecycles in HP Quality Center (QC); re-validated SQL logic post-fix prior to pushing release packages to pre-production and staging environments.

DANSKE BANK Denmark

BI Developer Mar 2008 – Aug 2010

● Retail Banking Data Warehouse: Developed retail banking exploration warehouses; built SSIS packages and DB2 stored procedures to extract, transform, and load data from mainframe datasets and external flat files.

● Cube Architecture & Reporting: Designed and developed SSAS multidimensional cubes and SSRS archival status reports for business decision-makers.

● Data Modeling: Mapped data models for Classification (CL) business concepts using DataStage job flows from source copy tables.

NATIONWIDE BUILDING SOCIETY Swindon, UK

Database Developer Jan 2006 – Feb 2008

● Mortgage & Banking Analytics: Designed, developed, and maintained retail banking SSAS cubes; authored T-SQL stored procedures, functions, and C# .NET components for transaction monitoring systems.

● Change Request (CR) Implementation: Analyzed incoming business Change Requests, drafted Impact Analysis (IA) documents, and wrote database patch scripts to meet evolving retail mortgage requirements.

KEY PROJECTS & ARCHITECTURAL HIGHLIGHTS

● GenAI-Enabled Unstructured Data Room (Takeda): Designed and deployed a secure, LLM-backed query interface over corporate document stores using vector databases (RAG architecture), allowing business users to interact with unstructured data via natural language and reducing research time by 60%.

● Petabyte-Scale Delta Lake Architecture (Takeda): Built a unified Medallion architecture

(Bronze -> Silver -> Gold) on Databricks Delta Lake, processing petabytes of raw streaming and batch telemetry data for analytics and machine learning applications.

● Legacy-to-Hadoop ETL Engine Conversion (Skillsoft): Re-engineered traditional SQL-based ETL pipelines onto a distributed Hadoop environment, reducing execution times from hours to minutes and setting the company standard for big data transformations. EDUCATION

Bachelor of Technology (B. Tech) in Computer Science & Engineering Jawaharlal Nehru Technological University (JNTU), Hyderabad, India

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