

Dynamic Data Engineering Manager / Architect with 13+ years of experience in building, scaling, and managing modern data platforms on Azure, AWS, and Databricks. Proven expertise in cloud data architecture, lakehouse design, ETL modernization, and real-time analytics. Skilled in leading global teams to deliver robust, high-performance data ecosystems that drive actionable business insights.
Specialist in Databricks (Spark, Delta Lake, MLflow), with a deep focus on data lakehouse architecture, cost optimization, and end-to-end cloud migration strategies.
Cloud Platforms: Azure (ADF, Synapse, Data Lake, Event Hub, Key Vault) AWS (S3, Glue, Lambda, Redshift, Athena)
Data Processing: Databricks, Apache Spark, PySpark, Delta Lake, Airflow
Data Warehousing: Snowflake, Synapse Analytics, Redshift
Programming: Python, SQL, Scala
DevOps & CI/CD: Azure DevOps, GitHub Actions, Terraform, Docker
Architecture: Data Lakehouse, ETL/ELT Design, Data Governance, CDC Pipelines
Leadership: Data Strategy, Team Building, Project Delivery, Stakeholder Management
GenAI & LLM Integration: Retrieval-Augmented Generation (RAG) on Databricks, Vector Embeddings, LangChain, OpenAI APIs
Databricks certified developer associate
Databricks certified developer associate
Microsoft Certified: Azure Data Engineer Associate
AWS Certified Solutions Architect – Associate Certification