Implemented scalable ETL pipelines that load up to 5MM rows from disparate sources into Azure SQL and Blob Storage under 5 minutes, using Databricks and Azure Data Factory's Data Flow Implemented fully automated Continuous Integration and Continuous Delivery (CI/CD) on Azure DevOps Pipelines to move Data Factory pipelines from Dev to Prod

− Implemented ETL/ELT pipelines to load SAP, Oracle and Dynamics data into Azure SQL and Blob Storage using Data Flow from Azure Data Factory − Data Engineering with Azure Data Factory and Azure Databricks

− Databricks developer for Data Science, Data Engineering and Machine Learning projects − Development ETL and ELT pipelines − Data processing, aggregation, ingestion and validation − Real-time aggregations and KPI computation for IOT solutions (pyspark streaming) − Data analysis with Databricks SQL (spark SQL) − Development of PoC to validate solutions using Data Science and Machine Learning − Feature engineering

Databricks developer for Data Science, Data Engineering and Machine Learning projects Feature engineering, data processing, aggregation, ingestion, and validation Data analysis with Databricks SQL (spark SQL) Development of PoC to validate solutions using Data Science and Machine Learning Developed part of the pilot project that brought in over $1MM in revenue in 2022 Hardened current digital infrastructure with architectural decisions, and it was able to support over 99.9% accuracy and uptime Built new infrastructure to ingest, analyze and compute KPI for real-time IOT data using PySpark streaming

Subject-Matter Expert (SME) in Azure Data Factory Drive issues on complex ETL pipelines to resolution and/or identify workarounds to unblock customers on Azure Data Factory, Stream Analytics and Data Lake Responsible for escalated incidents in EMEA region and provided after hours and on-call support as required and ensured 24/7/365 availability for production support Outstanding Customer Satisfaction of 4.71/5 Guided the daily case triage and managed 75% of the case volume Develop tools, scripts, and documentation to scale myself and help another 27 engineers Co-author of L200 Azure Data Factory internal certification and author of several Troubleshooting Guides, enriching Microsoft Support's knowledge base

Analysis, advisory and troubleshooting of machine learning solution using Azure Machine Learning, from development to deployment, with Python SDK and AML Studio Drive issues to resolution and/or identify workarounds to unblock customers Provided after hours and on-call support as required and ensured 24/7/365 availability for production support

• Support Escalation Engineer for Data Movement - Subject Matter Expert (SME) in Azure Data Factory - Advisory, analysis and troubleshooting of Azure Data Factory, Stream Analytics, Data Lake, Purview, Data Share - Responsible for escalated incidents in EMEA region - Drive issues to resolution and/or identify workarounds to unblock customers - Develop tools, scripts, and documentation to scale myself and help the frontline and junior Support Engineers diagnose, troubleshoot and fix issues - Drive training sessions - Co-author of L200 Azure Data Factory internal certification - Author of several Troubleshooting Guides, enriching Microsoft Support's Knowledge Base - Mentoring of new hires - Certified Azure Data Engineer Associate • Support Engineer for Azure Machine Learning - Advisory on machine learning solution, from development to deployment, with focus on Azure Machine Learning service - Analysis, advisory and troubleshoot of Microsoft Azure Machine Learning - Drive issues to resolution and/or identify workarounds to unblock customers. - Certified Azure Data Scientist Associate

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