Jaswanth Reddy Kankanala

About Jaswanth Reddy Kankanala

I am a Data Engineer with over 6+ years of experience designing and implementing large-scale data solutions across pharmaceuticals, automotive, and technology sectors. My expertise covers modern cloud ecosystems (Azure, AWS, GCP), data warehousing technologies (Snowflake, BigQuery, Azure Synapse, Redshift, SQL Server), and distributed data frameworks such as Spark, Kafka, Airflow, and StreamSets. In addition, I bring strong proficiency in programming (Python, Java, Scala, SQL), containerization and orchestration (Docker, Kubernetes), and business intelligence tools including Power BI, Tableau, and QlikView.I have led initiatives that streamlined release cycles through CI/CD automation, modernized batch workflows into streaming solutions for substantial performance gains, and automated compliance reporting to save hundreds of engineering hours. At organizations including GSK, Tesla, AWS, and Humana, I have consistently delivered scalable, secure, and business-ready data pipelines that enable actionable insights and strategic decision-making.I hold a Master’s degree in Computer Science from the University of Florida and multiple industry certifications, including Microsoft Certified Trainer, Azure Data Analyst, and Azure Developer Associate. I am committed to advancing data engineering practices, with a focus on cloud migration, data governance, and analytics-driven innovation.

Experience

1. Sr Data Engineer

   GSK

   May 2025 — Present · Collegeville, PA, US

   PROJECT: Unified Antibody Drug Conjugate Discovery Data Framework & Analytics• Engineered a cloud-native data platform on GCP utilizing Data Mesh principles to integrate high-volume biological and chemical data streams.• Built scalable data pipelines that normalized Parent Antibody and Small Molecule data, enabling the high-throughput screening of 100s of ADC conjugates simultaneously.• Developed standardized data schemas incorporating HELM standards and Drug-to-Antibody Ratios (DAR), ensuring interoperability between upstream bio-registration systems and downstream analytics.• Automated the delivery of high-quality data to LiveDesign and Spotfire, empowering scientists with real-time analytics for faster decision-making.• Implemented automated data quality testing and validation routines to ensure pipeline reliability and adherence to GxP and regulatory data integrity requirements.

Education

• University of Florida

  Master of Science - MS, Computer Science

• Osmania University

  Bachelor of Engineering - BE, Computer Science