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Sanhithreddy User

@sanhithreddyuser

I am a data engineer specializing in scalable ETL, cloud platforms, and real-time data systems that deliver actionable insights.

United States

Message

What I'm looking for

I seek a data engineering role focused on scalable ETL, real-time streaming, and cloud-native platforms, with opportunities to automate pipelines, strengthen data governance, and collaborate cross-functionally to drive measurable business impact.

I am a result-oriented data engineer with 3+ years building scalable ETL pipelines, real-time streaming systems, and cloud-based warehouses using Python, SQL, Spark, and AWS/Azure. I focus on automating data processes to deliver actionable business insights.

At Humana I designed ETL pipelines processing over 10TB daily, cut ingestion time by 35%, and improved warehouse query performance by 40% using Snowflake and Redshift. I introduced data governance and validation frameworks increasing accuracy to 99.9%, implemented 30+ Airflow DAGs to save 20+ weekly hours, and engineered Kafka streaming to reduce latency to under 30 seconds. I also deployed infrastructure with Terraform and Kubernetes, decreasing deployment time by 60% and lowering costs through automation.

Previously, I migrated on-prem infrastructure to AWS, built CI/CD for data workflows, and developed a fraud detection system with PySpark and Scikit-Learn that reduced fraud by 25%. I enjoy collaborating cross-functionally to translate complex data into strategic decisions and continuously improving pipelines and data quality.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Humana

Jul 2024 - Present (1 year 1 month)

Designed and optimized ETL pipelines processing over 10TB daily, reducing data ingestion time by 35% and enabling faster business insights; developed Snowflake and Redshift warehouse solutions that improved query performance 40% and cut report generation time 50%.

Apache Spark Apache Airflow Snowflake Amazon Redshift Apache Kafka Terraform Kubernetes SQL Python

Data Engineer

Prop Technology

Jan 2021 - Dec 2022 (1 year 11 months)

Designed and managed ETL pipelines processing over 50M records per day, reducing data processing time by 45% and improving analytics availability; architected Redshift/PostgreSQL data warehouse that reduced reporting latency by 65% and led an on-premise to AWS migration that cut infrastructure costs 30%.