Venkat Praneeth

I am a Senior Data Engineer with 6+ years building large-scale, cloud-native data platforms and real-time analytics solutions across healthcare, finance, e‑commerce, and M&A domains.

I design and implement scalable ELT/ETL pipelines using Snowflake, Redshift, Databricks, AWS Glue, and Airflow, and I modernize legacy systems by migrating Teradata, Oracle, and Hadoop workloads to cloud data platforms.

I build low-latency streaming solutions with Kafka, Kinesis, Flink, and Spark Streaming, and I enable ML workflows using MLflow, SageMaker, feature stores, and curated feature datasets for fraud scoring, clinical risk, and document intelligence.

I focus on governance, data quality, and cost optimization—implementing Great Expectations, dbt tests, lineage, RBAC, and infrastructure-as-code (Terraform/CloudFormation/GitHub Actions) to deliver reliable, compliant, high-performing analytics for stakeholders.