krishna sai
@krishnasai4
I build cloud-native ETL pipelines and modernize enterprise data platforms.
What I'm looking for
At Cognizant, I migrate legacy Informatica and Teradata workloads into cloud-native data platforms for insurance, reinsurance, and enterprise data teams. I’ve delivered Azure Databricks, AWS Glue, S3, EMR, and Apache Iceberg solutions across ingestion, transformation, migration, and production support.
I migrated 150+ Informatica workflows to Azure Databricks and improved ETL performance and reliability by 25% through Spark SQL, join, and partitioning optimizations. I also built Python validation automation that reduced manual checks by 40%, implemented Unity Catalog controls across 50+ tables, and maintained 99.9% data availability.
I’m certified in Databricks, Azure Data Engineering, and AWS Data Analytics, with a focus on reliable, governed pipelines that deliver usable business data.
Experience
Work history, roles, and key accomplishments
Migrated 150+ legacy Informatica ETL workflows to Azure Databricks using PySpark and Spark SQL for insurance and reinsurance data. Designed and tested ETL/ELT pipelines across 3+ source systems, implemented Delta Lake, and optimized Spark SQL queries to improve ETL performance by 25%.
Education
Degrees, certifications, and relevant coursework
RMK College of Engineering and Technology
Bachelor of Engineering, Electronics and Communication Engineering
2018 - 2022
Pursued a Bachelor of Engineering in Electronics and Communication Engineering, graduating in 2022.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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