- Proficient T-SQL developer in developing complex queries,
stored procedures and skilled in performance tuning and ensuring database
integrity and security.

- Designed and implemented Azure-based data solutions, by
reducing data processing and optimizing costs by implementing effective
resource utilization strategies.

- Conducted performance tuning and troubleshooting of Azure SQL
databases, enhancing system stability.

- Developed and Managed end-to-end ETL pipelines using Azure Data
Factory, with improvement in data integration efficiency.

- Implemented Azure Synapse Analytics to streamline analytics
workflows.

- Implemented data integration solutions leveraging Azure Data
Factory and Azure Synapse Analytics for seamless data flow.

Requirements

- Azure Services: Azure SQL Database, Azure Data Factory, Azure
Databricks, Azure Synapse Analytics, Azure Data Lake, etc.

- Programming Languages: T-SQL, PySpark, Spark SQL, Fair
knowledge on KQL.

- Data Modeling: ERD, Dimensional Modeling

- ETL Tools:



Azure Data Factory, Fair Knowledge of SSIS

- Big Data Technologies: Fair knowledge on Hadoop and Spark

- Performance Tuning and Troubleshooting

- Version Control: Git, Azure DevOps

- Managed the migration of legacy data systems to Azure Synapse
Analytics ensuring minimal downtime and improved performance.

- Orchestrated the migration of data infrastructure to Azure
Databricks, ensuring seamless integration and improved efficiency.

- Developed and deployed scalable data pipelines on Azure
Databricks.

- Implemented robust security measures for data storage and
processing in compliance with industry standards and regulations.

- Collaborated with cross-functional teams to optimize data
architecture and improve data quality.

- Developed and maintained Azure Data Lake storage solutions,
enabling seamless data ingestion and processing.

📌 Azure Data Engineer - ADF-ADL (Pune)
🏢 Recognized
📍 Pune