Über Ravindra
Deutsch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Telugu
Muttersprachlich oder zweisprachig
Projekt- und Berufserfahrung
- OPTUM (UnitedHealth Group)Senior Data Engineer | Data AnalystDIGITALAGENTUREN & IT-CONSULTINGJuni 2015 - März 2026 (10 Jahre und 9 Monate)Hyderabad, Telangana, IndiaDatabricks Pipelines — Lakeflow/DLT, Unity Catalog & Delta Lake• • Built and maintained production-grade data pipelines in Azure Databricks using Lakeflow Declarative Pipelines (DLT) —implementing Expectations-based data quality validation to ensure reliability and trust in data products across the Lakehouse.• • Configured and managed Unity Catalog for governance and access control — seting up catalogs and schemas, defining permissions, and implementing lineage-friendly practices across the Databricks environment.• • Implemented Medallion Architecture (Bronze → Silver → Gold) with Delta Lake — enabling reliable, versioned, incremental processing for analytics-ready curated data products.• • Optimised cluster sizing, partitioning, file sizes, caching, and query plans to improve Databricks pipeline performance and reduce compute cost.ELT/ETL Paterns, Data Modelling & Quality• • Implemented ETL/ELT paterns for batch and incremental data processing — using watermark-based incremental loads, CDC, Delta Lake upserts, and SCD Type 1 & 2 for slowly changing dimensions.• • Developed and maintained Lakehouse data models aligned with Kimball dimensional modelling principles — designing star schemas, fact and dimension tables, and curated mart datasets following data warehousing best practices.• • Built data quality checks and monitoring frameworks (including DLT Expectations paterns) to ensure reliability and trust in data products — reducing manual validation effort by approximately 40%.• • Implemented data contracts and collaborated with analytics, data science, and engineering stakeholders to translate requirements into well-defined data deliverables.Azure, CI/CD & Operational Excellence• • Worked across the Azure data stack — Azure Databricks, Azure Synapse Analytics (T-SQL), Azure Data Factory — for enterprise data integration, migration, and platform modernisation.• • Operated within CI/CD-integrated Git workflows — applying branching strategies.
- TECH MAHINDRASenior Test Engineer (Data Validation)Mai 2010 - Januar 2013 (2 Jahre und 8 Monate)India• • Performed SQL-based data analysis and ETL validation for enterprise data warehouse projects.• • Validated pipeline outputs against source data; documented findings and established test cases for data quality sign-off.
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Ausbildung und Abschlüsse
- Microsoft Fabric Data Engineer Associate2026Microsoft Fabric Data Engineer Associate
- Microsoft Azure Fundamentals AZ-9002025Microsoft Azure Fundamentals AZ-900