About Me
Business Intelligence & Data Engineering Professional with expertise in ETL pipelines, SQL development, and BI reporting. Skilled in data modeling, automation, and cloud platforms (AWS, GCP, Azure, Snowflake). Adept at b…
Business Intelligence & Data Engineering Professional with expertise in ETL pipelines, SQL development, and BI reporting. Skilled in data modeling, automation, and cloud platforms (AWS, GCP, Azure, Snowflake). Adept at bridging business requirements with technical execution, enabling organizations to improve decision-making and reporting efficiency.
Experience
BI & Data Engineer (SQL/Power BI/ETL)
Developed interactive Power BI dashboards with advanced DAX, delivering insights across finance, product, and risk functions.
Designed and optimized SQL queries, stored procedures, and views to support analytics, fraud detection, and reporting use cases.
Automated ETL pipelines using SSIS, Airflow, and Python, ensuring timely and accurate data delivery.
Created and scheduled SSRS reports for operational and executive stakeholders, supporting decision-making.
Built and maintained data refresh jobs on AWS (Airflow, Lambda) to ensure consistency across BI reports.
Partnered with data scientists to prepare ML-ready datasets through feature engineering and data quality checks.
BI & Data Engineer (SQL/Power BI/ETL)
Developed interactive Power BI dashboards with advanced DAX, delivering insights across finance, product, and risk functions., Designed and optimized SQL queries, stored procedures, and views to support analytics, fraud detection, and reporting use cases., Automated ETL pipelines using SSIS, Airflow, and Python, ensuring timely and accurate data delivery., Created and scheduled SSRS reports for operational and executive stakeholders, supporting decision-making., Built and maintained data refresh jobs on AWS (Airflow, Lambda) to ensure consistency across BI reports., Partnered with data scientists to prepare ML-ready datasets through feature engineering and data quality checks.
Data Engineer – BI & Cloud Analytics
Migrated legacy workflows into scalable pipelines, enabling AI-driven analytics and BI insights.
Migrated data workflows to SAS and SQL-based solutions, improving maintainability and reporting accuracy.
Designed automated ETL pipelines with Airflow and BigQuery, supporting advanced analytics in the cloud.
Delivered SQL development and optimization for customer analytics, enhancing query performance.
Created Power BI dashboards and Salesforce CRM analytics to monitor customer behavior and campaign performance.
Conducted hypothesis testing and statistical analysis to support marketing and engagement strategies.
Data Engineer – BI & Cloud Analytics
Migrated legacy workflows into scalable pipelines, enabling AI-driven analytics and BI insights., Migrated data workflows to SAS and SQL-based solutions, improving maintainability and reporting accuracy., Designed automated ETL pipelines with Airflow and BigQuery, supporting advanced analytics in the cloud., Delivered SQL development and optimization for customer analytics, enhancing query performance., Created Power BI dashboards and Salesforce CRM analytics to monitor customer behavior and campaign performance., Conducted hypothesis testing and statistical analysis to support marketing and engagement strategies.
Business Data Analyst
Built and maintained ETL workflows in SSIS and SQL to ensure reliable data integration within Citi Private Banking systems.
Designed SSRS and Power BI reports with complex DAX measures, enabling drill-through analysis and self-service BI.
Optimized ETL batch jobs and SQL scripts, improving data pipeline performance and reducing processing delays.
Automated monitoring and incident handling with ServiceNow, streamlining failure resolution.
Partnered with infrastructure and compliance teams to maintain audit-ready, secure data operations.
Business Data Analyst
Built and maintained ETL workflows in SSIS and SQL to ensure reliable data integration within Citi Private Banking systems., Designed SSRS and Power BI reports with complex DAX measures, enabling drill-through analysis and self-service BI., Optimized ETL batch jobs and SQL scripts, improving data pipeline performance and reducing processing delays., Automated monitoring and incident handling with ServiceNow, streamlining failure resolution., Partnered with infrastructure and compliance teams to maintain audit-ready, secure data operations.