Praneeth madala
@praneethmadala
Senior Data Engineer specializing in Snowflake, streaming, and HIPAA-compliant platforms.
IndiaWhat I'm looking for
I’m a results-oriented Senior Data Engineer with 4+ years of progressive experience architecting and delivering enterprise-grade cloud data platforms across Microsoft Azure, Google Cloud Platform (GCP), and Snowflake. I’ve owned mission-critical data solutions end-to-end—from pipeline design and ingestion through transformation, governance, and delivery to business stakeholders—especially in healthcare and e-commerce.
I build high-throughput ETL/ELT and real-time streaming architectures using Matillion, Apache Kafka, Spark Streaming, Google Cloud Dataflow, and Databricks, consistently processing 10M+ records per day with 99.9% SLA compliance. Deeply hands-on with Snowflake-native capabilities (Snowpipe, Streams & Tasks, Micro-partitions, Zero-copy Cloning) and security/governance (HIPAA, RBAC, audit logging), I focus on reducing pipeline failures, cutting compute costs, and enabling near-real-time decision-making through reliable, scalable data products.
Experience
Work history, roles, and key accomplishments
Optimized Matillion-based ETL and orchestration pipelines to load and transform heterogeneous healthcare data into Snowflake for UnitedHealth Group, improving consistent throughput and low-latency delivery. Built event-driven integrations with Azure Data Lake Storage Gen2, Azure Functions, and Azure Event Grid, and developed complex transformation logic to support reporting KPIs.
Engineered end-to-end real-time ETL/ELT and streaming pipelines on GCP (Kafka, Dataflow, Dataproc, Databricks) processing 10M+ healthcare records per day with 99.9% SLA compliance. Reduced data latency from hours to under 5 minutes, improved query performance by 40%, and reduced compute costs by ~30% through workload optimization and robust Airflow orchestration with HIPAA-compliant governance.
Delivered Snowflake data engineering capabilities for an e-commerce platform, implementing continuous data protection (Time Travel, Fail-Safe), event-driven pipelines (Streams & Tasks), and incremental ingestion via change data capture. Built governed data access layers using secure/materialized views, enabled cost-efficient development with zero-copy cloning, and implemented scalable ingestion an
Education
Degrees, certifications, and relevant coursework
KL University
Bachelor of Technology, Computer Science & Engineering
Bachelor of Technology in Computer Science & Engineering at KL University, graduating in 2022.
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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