Kranthi K

I've delivered Azure data solutions across healthcare and other business environments, building scalable ETL/ELT pipelines with Azure Data Factory, Azure Databricks, PySpark, SQL, and ADLS Gen2.

At 3k Softech, I developed and optimized PySpark pipelines for cleansing, schema validation, deduplication, aggregation, and transformation. I also tuned Spark and SQL workloads using partitioning strategies, improving query execution speed by 20% while reducing compute costs.

At Exceed Solutions and Actalent, I built cloud ETL pipelines, migrated on-premises data to Azure, and developed transformation logic that improved data accuracy by 30% and processing speed by 25%. My SQL optimization work reduced data retrieval times by 30%, while data cleaning and enrichment improved data quality and accuracy by 35%.

I'm focused on reliable, business-aligned data products, collaborating closely with cross-functional teams to improve data quality, performance, and reporting.