Sree Bobbala
Data Engineer @DMI
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WORK HISTORY
Data Engineer @DMI
Tampa, FL, US
As an engineer, I worked on migration solutions to move clinical and lab-tested data from Oracle, PostgreSQL into Microsoft Fabric using (EDB)-AWS based medallion architecture on focusing a unified data platform across every CXO-level, operational and research analytics keeping the structure clean, reliable and easy to consume.By building refined ELT pipelines, I reduced manual effort by 70% in improving overall efficiency by 25%. I automated deployment using custom build CI/CD pipelines in Azure DevOps & GitHub Actions which shortened release cycles by 30% in maintaining consistency across workspace environments.Working closely with SMEs, business analysts & end users, I supported requirements gathering for data validation, post migration verification in consolidating fragmented datasets into Fabric improved reliability by 35% to reporting through clean semantic datasets to translate into practical solutions using Power BI.contributing to sprint planing, documentation in confluence peer reviews and production support while partnering with onshore and offshore teams helping team rely on consistent and trusted reporting.
EDUCATION
Cleveland State University
Master's degree, Computer Science
Saint Leo University
Master's degree, Computer Science
SR Engineering College
Bachelor of Technology - BTech, ECE - Electronics and Communications Engineering
ABOUT SREE BOBBALA
As a Data Engineer, I specialize in ETL, ELT building and optimizing Custom build data pipelines CI/CD solutions that help organizations make better decisions through reliable, timely data. With hands-on experience in programming languages like Python, R, SQL, Postgres SQL and tools such as Apache Kafka, Airflow, Hadoop, and SSIS, I enable efficient data processing and real-time analytics. Data Pipeline Development – Experienced in designing and implementing ETL, ELT workflows and CI/CD pipelines to support scalable and maintainable data infrastructure. Real-Time Data Streaming – Skilled in building streaming solutions to process large volumes of data using tools like Kafka and Airflow. Data Governance & Integration – Proficient with Collibra for implementing data governance frameworks and managing data quality across enterprise systems. Data Visualization & Analytics – Proficient in Power BI, Tableau, JMP and Excel to create clear, actionable insights for business users. Methodologies & Collaboration – Passionate about Agile and Waterfall practices, working closely with cross-functional teams to deliver high-quality data solutions.I thrive at the crossroads of data engineering, analytics, and business needs helping organizations unlock value through data-driven processes and technology.
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