1. Creating and managing Tableau reports based on user requirements, proficiently using rich graphic visualizations with Drill Down, Drop-down menus, and Parameters.2. Structuring SQL database objects, including tables, views, procedures, triggers, and functions, to ensure efficient data management.3. Designed and developed ADF pipelines to transform data from different sources to Azure SQL DW/Synapse.4. Managed various data movement, control, and transformation activities.5. Created Linked services and data sets for ADF pipelines and implemented error handling, logging, configurations, and email notifications using Logic apps.5. Deployed ADF pipelines into QA, UAT, and PROD environments using Azure DevOps pipelines.6. Created pipelines for data migration from on-premise SQL and file systems to Azure Data Lake store.7. Worked with Azure Key Vault, Logic apps, and Automation accounts.8. Wrote complex queries, stored procedures, views, cursors, and SQL joins.9. Imported data from Azure Data Lake and Blob storages, designed and implemented data ingestion pipelines using Azure Databricks, and built ELT pipelines using Databricks Jobs and Workflows.10. Deployed PySpark applications in Databricks clusters, integrated Azure storage with Azure Databricks, and orchestrated Databricks applications using ADF pipelines.11. Created Azure Synapse Analytics Workspaces, used Azure Synapse Studio, and built ADF data flows using Azure SQL and Synapse Analytics.12. Developed artifacts for the data engineering team, including source-to-target mappings, data quality rules, and data transformation rules.

1. Integrated banking regulations into data engineering solutions, solving complex data integration challenges while maintaining stringent data quality standards.2. Utilized Python for recurring reports automation and visualized them on BI platforms.3. Developed and implemented data cleansing, data security, data profiling, and data monitoring processes.4. Analyzed existing data models for optimizations and data inconsistencies, mapped data sources and targets for data movement, and ensured data integrity and quality.5. Generated periodic reports based on statistical analysis from various timeframes and divisions.6. Implemented Azure Data Factory operations for data movement from on-premises to cloud environments.

1. Developed various database objects to support business requirements and created detailed Functional and Technical Design Documents.2. Facilitated project management practices using Agile/Scrum, KPIs, and SDLC.3. Designed and implemented database tables, views, functions, and indexes.4. Collaborated on outlining project requirements and built and tested production data pipelines.5. Created complex stored procedures for OLTP and ETL operations and incorporated error redirection in SSIS packages.6. Designed ETL packages on SSIS for data migration and reporting applications.

1. Participated in database design, data modeling, T-SQL development, and implemented ETL packages using SSIS.2. Created data standards, policies, and procedures to ensure data quality.3. Analyzed user requirements and business rules for enterprise-wide data quality environments.4. Maintained data integrity with constraints and DML triggers, developed SSIS packages, and created and deployed SSRS reports.

1. Proficient in T-SQL, stored procedures, and functions.2. Developed SSRS reports with various charts and SSIS packages for Data Warehouse loading.