Tejeswar Vempalli

About Tejeswar Vempalli

I’ve always believed that data has the power to transform lives. As a Data Engineer with over five years of experience under my belt, I thrive on turning complex challenges into streamlined solutions that genuinely make a difference. My journey began at Tech Mahindra where I learned the ropes of ETL development and honed my skills with tools like Apache Airflow and Spark SQL. One of my proudest moments was achieving 100% on-time execution of weekly data processing tasks by automating workflows—this not only boosted our team’s efficiency but also reinforced my love for problem-solving. Currently at CVS Health, I’ve had the privilege of working on projects that impact patient safety directly. By engineering scalable and fault-tolerant data pipelines using AWS Data Pipeline and Kinesis, I helped reduce critical patient safety events through real-time monitoring capabilities. It’s incredibly rewarding to know that my work contributes to improving healthcare outcomes. I’m passionate about leveraging cloud technologies like AWS and Azure to build robust data solutions. Whether it’s developing secure data architectures or implementing machine learning models for predictive analytics, I find joy in every step of the process. The thrill of seeing a project come together from concept to execution is what keeps me motivated. Outside of work, I enjoy participating in tech meetups where I can share knowledge and learn from others in the field. It’s inspiring to connect with fellow enthusiasts who are just as passionate about technology as I am. If you’re interested in discussing innovative data solutions or collaborating on exciting projects, feel free to reach out via email! t••••••••@gmail.com. Let’s connect and explore how we can make an impact together. Skills: Python | SQL | AWS | Azure | GCP | Databricks | Apache Airflow | ETL Development | Real-time Analytics

Experience

1. Data Engineer Aws & Azure Expert, Etl Development, Real-time Analytics

   CVS Health

   Oct 2023 — Present · US

   Engineered scalable, fault-tolerant data pipelines with AWS Data Pipeline and Kinesis, resulting in a significant reduction of critical patient safety events through real-time monitoring and alerting capabilities.* Strengthened data security measures by orchestrating the development of robust pipelines that securely transferred millions of Electronic Health Records (EHR) to cloud platforms while meeting stringent governance goals.* Accelerated data availability for analytics teams by designing high-availability ETL/ELT pipelines on the AWS stack, achieving a remarkable reduction in data ingestion time from various sources including APIs and databases.* Boosted data categorization accuracy by 30% and slashed processing times by 40% through engineering real-time analytics pipelines using PySpark on terabyte-scale EHR datasets for enhanced operational efficiency.* Enhanced reliability in data processing by leveraging Apache Spark within Azure Databricks; implemented Delta Lake for fault-tolerant processing of large datasets while minimizing failure rates significantly.* Automated ETL workflows with Apache Airflow and AWS Glue to enhance pipeline efficiency; reduced processing time drastically while increasing overall data availability for healthcare teams’ operations.* Empowered decision-making processes by developing real-time dashboards using Tableau, Power BI, and QuickSight that provided vital insights into patient care trends and operational metrics.* Successfully completed a critical migration project transferring terabytes of medical data to AWS Redshift and S3 within just three weeks while maintaining near-perfect accuracy using Talend for the ETL process.Skills: AWS Data Pipeline | ETL Development | Apache Spark | PySpark | Azure Databricks | Data Governance | Real-time Analytics

Education

• Rivier University

  Master's degree

  2022 — 2023