Unlimited Email and Phone number
Everything you need to reach more inboxes and close more deals
Unlimited Contact Only at$79
Mohan Chaitanya Reddy Vatrapu
Data Engineer @Provation
Signup · Get unlimited contacts
WORK HISTORY
Data Engineer @Provation
US
Led the end-to-end design and delivery of scalable, cloud-native data ecosystems powering AI-driven healthcare SaaS products, integrating internal and external data sources to ensure quality, interoperability, and performance while architecting and maintaining secure, compliant ETL/ELT pipelines and Microsoft Fabric workloads aligned with HIPAA, HL7, and FHIR standards, enabling incremental loading, delta updates, and advanced analytics and machine learning at scale while partnering with product, platform, AI/ML, and data science teams to translate business objectives into data solutions that improved clinical and operational efficiency, supporting complex reporting needs through optimized SQL and semantic models while applying DataOps practices and CI/CD automation to standardize development, testing, and deployment, driving continuous improvement, observability, and operational excellence across data platforms while leading initiatives to resolve data quality issues, improve system performance, and implement modern data governance and security best practices, mentoring cross-functional teams and contributing to Agile methodologies (stand-ups, backlog grooming, code reviews) to ensure compliance with standards and timely delivery of high-impact solutions.
EDUCATION
Jawaharlal Nehru Technological University
Bachelor of Technology (BTech), Electronics and Communications Engineering
Central Michigan University
Master of Science (M.S.), Computer Science
SKILLS
ABOUT MOHAN CHAITANYA REDDY VATRAPU
Senior Data Engineer with 10+ years of experience designing, implementing, and optimizing data and AI platforms that power Analytics, ML, Generative AI and Voice AI applications at scale. I combine deep expertise in ETL/ELT, data modeling, and warehousing with hands-on work enabling AI-driven use cases on modern cloud stacks.I design and build scalable, secure Big Data and AI-ready infrastructures using Azure, Databricks, GCP, and Spark, ensuring reliable data foundations for LLMs, RAG workloads, and advanced analytics. Proficient in Python and SQL, I develop both batch and streaming pipelines, leveraging Kafka and Spark Structured Streaming for low-latency ingestion and feature/data delivery into downstream ML and AI systems.My recent work includes operationalizing AI by integrating cloud AI services (Azure AI, Github Copilot, Claude) into data ecosystems, applying responsible AI, data quality, and lineage best practices to support compliant, production-grade AI solutions. I focus on building observable, well-documented, and cost-aware platforms that help product and data teams move faster while keeping governance, security, and reliability at the core.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.