Yashwanth Vurukala

Hey! I'm Yashwanth, a Data Engineer with around 4 years of experience designing and deploying scalable data pipelines, transforming raw datasets into actionable insights, and optimizing data systems across cloud platforms. I’ve worked across industries like Healthcare, Finance, and Retail, enabling faster, smarter data-driven decision-making. Currently, I’m exploring new opportunities where I can leverage my expertise in cloud data engineering, big data processing, and modern data stack tools to contribute to innovative, AI-powered platforms or analytics driven businesses. My Strengths Include: Expertise in Python, SQL, and PySpark for building reliable ETL/ELT pipelines Hands-on experience with Azure (ADF, Databricks, Synapse) and AWS (Glue, S3, Lambda, Redshift) Strong understanding of Delta Lake, OLAP/OLTP systems, data warehousing, and Airflow orchestration Solid grounding in data modeling, data governance, and version control (Git, DevOps) Highlights: • Built robust pipelines that reduced data latency by 60% and improved reporting SLAs across departments • Migrated legacy workflows to Azure cloud, enhancing performance, scalability, and cost efficiency • Led initiatives to automate quality checks, schema validation, and monitoring reducing manual effort • Collaborated cross-functionally with analytics and product teams to translate business logic into performant data transformations I hold a degree in Computer Science from University of Central Missouri and am passionate about data architecture, cloud-native development, and building resilient, scalable systems that empower organizations to make data a strategic asset. Let’s Connect! If you're building a modern data platform or need someone to optimize and scale your data pipelines, I’d love to talk. Always open to new ideas, challenges, and collaboration opportunities!