Adept Business Analyst / Data Analyst with a strong background in Banking and Finance. Proven expertise in SQL Server, Python, along with DBT, Mulesoft, and Alation. I have consistently bridged the gap between business n…
Adept Business Analyst / Data Analyst with a strong background in Banking and Finance. Proven expertise in SQL Server, Python, along with DBT, Mulesoft, and Alation. I have consistently bridged the gap between business needs and IT resources to improve efficiency and increase sales. My experience in managing complex analytical projects coupled with my ability to facilitate business systems makes me a strong candidate.
• Productionized data ingestion and processing pipelines using Python, PySpark, Data bricks and SQL/Snow SQL.
• Designing and implementing an operational production grade large-scale data solution
• Microsoft Azure Snowflake Data Warehouse.
• Snowflake Internals and integration of snowflake
Facilitated process re-engineering project resulting in improved service processes, and a 75% reduction in paperwork.
Developed business and technical requirements through a collaborative approach with users and cross-functional teams.
Automated the ETL data pipeline employing Python, SQL, and Apache Airflow, aligning with business-specific outcomes.
Conducted data point gap analysis, enhancing systems' functionality, and effectiveness.
Managed data collection, cleaning, transforming, and validation processes to derive meaningful business insights.
Developed business reports and financial forecasting models using Python, SQL, and PowerBI, contributing to strategic decision making.
Improved process efficiencies by coordinating with stakeholders, ensuring business and technology alignment.
Maintained data archives for reference, contributing to accurate and efficient business operations.
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