Data Engineer Management

Saikumar Reddy Sandi

*****************@*****.*** +1-331-***-**** Lombard IL, UNITED STATES

PROFESSIONAL SUMMARY

Data Engineer with 5 years of experience delivering data integration and analytics solutions across manufacturing and consulting domains. Core expertise includes designing and optimizing ETL workflows using Microsoft SSIS, Azure Data Factory, Informatica, and SAS DataFlux, as well as developing efficient SQL queries and stored procedures for data transformation and management. Skilled in master data management, data quality checks, and building scalable data pipelines for enterprise reporting. Proficient with Power BI, SSRS, Sigma, and Python to create actionable dashboards and automate business insights. Adept at working with diverse teams and stakeholders to ensure data accuracy, consistency, and value delivery in fast-paced environments.

TECHNICAL SKILLS

Cloud Platforms: Google Cloud Platform (GCP), Microsoft Azure

Data Engineering & Processing: Python, PySpark, Scala, Azure Databricks, Microsoft SSIS, Azure Data Factory, Informatica ETL, SAS DataFlux

Databases & Storage: MS SQL Server, Cassandra, NoSQL databases, Caching solutions (e.g. Redis/Memcached), NoSQL, SQL

DevOps & Infrastructure: Docker, Kubernetes, Terraform, Infrastructure as Code (IaC)

CI/CD Tools: GitHub Actions, Azure DevOps, GitHub

Scripting & Automation: Python, Bash

Monitoring & Observability: Custom monitoring solutions, Cloud-native monitoring tools

Agile Tools: Rally, Agile/Scrum methodology

Business Intelligence & Reporting: Power BI, SSRS, Sigma

Version Control & Release Management: GitHub, Azure DevOps

Data Quality & Master Data Management: MDM (Master Data Management) Tools, Data Matching (Best Record Processes), Data Quality Checks, Data Validation Routines, Stored Procedures, ETL Jobs, Master Data Management (MDM)

WORK EXPERIENCE

Axion Ray, Data Engineer Jan 2024 - Present

●Developed SQL queries and stored procedures to process and validate manufacturing quality data, supporting early detection of anomalies in production environments.

●Built and maintained ETL pipelines using Python and MS SQL Server to extract, transform, and load data from factory systems for analytics and reporting.

●Created Power BI dashboards that visualized production metrics and quality trends, enabling manufacturing teams to quickly identify and address emerging issues.

●Implemented data quality checks and matching logic to ensure consistency and accuracy of master data within manufacturing datasets.

●Managed data documentation, including data dictionaries and flow diagrams, to support knowledge sharing and maintain clarity across technical and business teams.

●Improved data integration processes by designing robust data ingestion jobs in Azure Data Factory, enhancing reliability for downstream analytics.

●Supported troubleshooting of ETL jobs and SQL queries, identifying root causes of data discrepancies and ensuring timely resolution to maintain data integrity.

●Utilized version control tools such as GitHub to manage SQL scripts and data pipeline changes, ensuring safe deployments and effective release management.

●Worked closely with software vendors and internal teams to resolve technical issues with analytics and reporting tools, keeping systems running smoothly.

●Provided guidance to manufacturing teams on best practices for data management, helping improve the accuracy and usability of enterprise data for strategic decision-making.

Joules To Watts, Data Engineer July 2020 – July 2023

●Developed and maintained robust ETL workflows using Azure Databricks to process and integrate healthcare data from MS SQL Server, Cassandra, and NoSQL sources, ensuring high data quality for analytics.

●Built SQL-based transformation logic and stored procedures to extract, cleanse, and prepare large healthcare datasets, supporting accurate and consistent data for operational and analytical use cases.

●Applied master data management concepts to create and maintain best record and matching logic within data pipelines, improving data consistency and supporting regulatory compliance in healthcare analytics.

●Created automated data validation routines and troubleshooting scripts in Python to identify and resolve ETL job issues, ensuring reliability and accuracy in healthcare data delivery pipelines.

●Designed and managed Power BI dashboards and SSRS reports to provide actionable insights to business and clinical stakeholders, supporting data-driven decision-making across healthcare operations.

●Worked with business teams to define data requirements and specifications, documenting data dictionaries and flow diagrams to maintain clarity and knowledge sharing across projects.

●Implemented Informatica ETL workflows to support healthcare data integration and egress processes, enabling seamless movement of curated datasets to downstream systems and analytics platforms.

●Managed data ingestion and matching processes in SAS DataFlux, ensuring high-quality master data for patient records and operational reporting within healthcare services projects.

●Supported release management activities by using GitHub and Azure DevOps for version control of SQL scripts, ETL jobs, and data documentation, enabling safe deployments and traceability.

●Collaborated with software vendors and internal IT teams to triage technical issues with reporting and integration tools, escalating support as needed and staying informed on product enhancements.

EDUCATION

Master’s in Business Analysis, Business Analysis 2025

Concordia University, Lakeshore Mequon, WI

Bachelors of Science in Computer Science, Computer Science 2020

Chaitanya Degree College [Autonomous], India

Contact this candidate