I've built enterprise data platforms for Tata Technologies, IBM, Wipro, and Aloha Technology, delivering AWS-based ETL, analytics, migration, and data quality solutions across manufacturing, finance, telecommunications, and pharmaceutical domains.
At Tata Technologies, I lead a centralized MES Control Tower lakehouse on Amazon S3 and Databricks, integrating 22 global business units and 72 plants. I build batch and real-time pipelines with Glue, PySpark, Python, Kafka, and Databricks, while delivering REST-enabled analytics, QuickSight and Power BI dashboards, and a Groq LLM chatbot for Confluence documentation.
At IBM, I architected an automated AWS data-quality and ingestion framework for Barclays that reduced manual troubleshooting and validation effort by 60%. I also optimized Glue jobs and Athena queries to reduce AWS processing costs and execution time by 50%, earning IBM Appreciation and Leadership Appreciation recognition.
Across my work, I focus on reliable data lakes, governed cloud architectures, high-performance SQL and Spark processing, automated monitoring, and practical collaboration with business, QA, MDM, and engineering teams.
