.png){kind=logo}
Gopichand Muppaneni
Mid-level Data Engineer specializing in Azure, Spark, and scalable ETL/ELT pipelines
Connect with Gopichand
Gopichand already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Data engineer with banking FP&A experience who led an end-to-end migration of 10+ TB from Teradata to Azure (ADF + Data Lake + Databricks/PySpark + Synapse). Emphasizes reliability (multi-stage validation, monitoring/alerts) and performance (Spark tuning, incremental loads, autoscaling), reporting ~99.5% pipeline reliability while supporting downstream consumers with stable schemas and clear change management.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- End-to-end ownership of large-scale data migration (10+ TB FP&A data) from Teradata to Azure
- Built incremental-load ingestion pipelines in Azure Data Factory to reduce reprocessing and cost
- Implemented multi-stage data quality gates (nulls/duplicates/record counts) to catch issues early
- Achieved ~99.5% pipeline reliability through monitoring/alerts (ADF + Logic Apps) and validation
- PySpark/Databricks transformations using layered raw-to-curated approach for maintainability
- Spark performance optimization (partition tuning, join improvements) and use of autoscaling for cost/performance balance
- Published curated datasets in Azure Synapse with stable schemas and change communication to downstream teams
Like what you see? We'll introduce you to Gopichand directly.
Experience
Education
Skills
Languages
Certifications
Browse Similar
Similar Candidates
Director-level Data Platform Engineering Leader specializing in data governance and quality
Director-level Software Engineering Leader specializing in AI, Data Platforms, and Ads/FinTech
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Senior Data Engineer specializing in cloud-native data platforms and streaming pipelines
Kalyani Chittipolu
Mid-level Data Engineer specializing in AI/ML platforms and cloud data pipelines
“Built and shipped an LLM-powered data quality assistant that generates maintainable validation checks from metadata while executing validations via Great Expectations, exposed through FastAPI and integrated into Airflow-managed pipelines. Emphasizes production reliability (structured outputs, guardrails, monitoring, versioning, human review) and works closely with compliance/operations teams to deliver clear, auditable, user-friendly AI outputs.”
Interested in Gopichand?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Gopichand
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent