Tejaswini Anguluri

Background

About Tejaswini Anguluri

I’m a Data Engineer with 5 years of experience designing scalable data platforms, building real-time streaming pipelines, and driving cloud migrations across telecom, healthcare, and research domains. My work centers on turning massive datasets into high-quality, audit-ready, and accessible data products that empower decision-makers and accelerate innovation. At Bharti Airtel, I engineered ETL pipelines with PySpark, AWS Glue, and Snowflake to process 15M+ records per day, boosting throughput by 80% and query performance by 70%. I also implemented real-time churn analytics using Kafka and Snowflake, improving marketing effectiveness by 50% and reducing deployment errors by 60% through CI/CD automation. At TCS, I migrated healthcare datasets into Azure Synapse and Delta Lake, enabling 40% faster analytics while maintaining HIPAA compliance. I also built IoT-driven real-time healthcare monitoring pipelines that improved clinical response times by 30%, directly enhancing patient care. Currently at the University of Houston, I design streaming pipelines that process 2M+ records daily with sub-minute latency, implement Delta Lake for audit-ready datasets, and optimize ML workflows to reduce training time and improve accuracy. Beyond delivery, I mentor interns on data engineering best practices, cloud adoption, and ML integration—something I deeply enjoy as part of my long-term vision to lead high-performing data teams. My toolkit spans Python, SQL, Spark, Kafka, Airflow, dbt, Snowflake, AWS, Azure, and GCP, combined with strong DataOps practices (CI/CD, monitoring, governance). I thrive on solving tough problems—whether that’s reducing downtime by 40%, cutting cloud spend by 20%, or building architectures that enable 90% fresher data for analytics teams. What drives me is creating data ecosystems that are scalable, resilient, and trusted—so that organizations can make smarter, faster, and compliant decisions. Long term, I see myself building and leading data engineering platforms that serve as the backbone for AI, analytics, and digital transformation initiatives. If you’re looking for someone who can deliver end-to-end data solutions with measurable business impact, while bridging engineering with strategy, I’d love to connect.