I am a Data Engineer with over 12 years of experience designing and implementing large-scale, cloud-native data pipelines using Azure, GCP, and Databricks. My expertise lies in batch and real-time data integration, data lakes, and modern warehousing technologies such as Snowflake, PySpark, and BigQuery. I have a proven track record of improving data quality, reducing processing time, and driving cost optimization through automation and architectural enhancements.
Throughout my career, I have delivered high-impact analytics solutions across various domains including healthcare, retail, and automotive. I am skilled in building scalable data pipelines, developing monitoring systems for data quality, and implementing real-time ETL solutions. I am also experienced in cross-cloud integration and have worked extensively with cloud platforms like Azure and Google Cloud.
I hold a Master of Computer Science and Application degree from Bharathiar University, India, and recently completed a Post Graduate Program in Cloud Computing from GenAI University of Austin, Texas. I am certified in multiple technologies including Databricks Apache Spark, Azure Data Solutions, Google Cloud Professional Data Engineer, Apache Cassandra, Tableau, and Oracle SQL & PL/SQL.
In my current role as a Senior Data Engineer at Copart, I design and implement data pipelines for operational and financial data, optimize query performance, and develop analytics tools that enhance cost efficiency. I collaborate closely with stakeholders to translate business requirements into scalable data solutions and reporting frameworks.
Previously, I worked at Cognizant as a Senior Associate, where I managed data pipelines for healthcare clients such as Kaiser Permanente. I implemented ETL workflows using Azure Data Factory, Synapse Analytics, Informatica, and Databricks, and led global teams to deliver technical solutions. My work contributed to improved data quality, faster release cycles, and increased revenue through enhanced claims acceptance rates.
Earlier in my career, I served as a System Engineer and ETL Developer at Tata Consultancy Services, working on large-scale Hadoop and ETL projects for clients like The Home Depot. I developed ETL workflows, managed production migrations, and supported big data initiatives using Hive, Spark, and MapReduce.
I am passionate about leveraging cloud technologies and data engineering best practices to build efficient, reliable, and secure data ecosystems that empower organizations to make data-driven decisions.
