About Me
I am a data professional with expertise in building efficient ETL pipelines, automation tools, and data visualizations using technologies like Spark, AWS, and advanced SQL. I excel at leveraging AI to solve complex problems, enhancing productivity, and ensuring data accuracy. With a focus on cross-functional collaboration, I drive data-driven decision-making and deliver impactful insights.
Work Experience
- Spearheaded the development of multiple automation and self-serve tools, resulting in productivity improvement of up to 80\% and a reduction of over 1,500 staff hours annually.
- Designed, built and maintained 15+ robust ETL pipelines utilizing modern technology stacks, such as Spark, AWS, Airflow, APIs, and SFTP, enhancing data processing efficiency.
- Streamlined supervisory processes and enhanced data accuracy & productivity for 20+ CX managers, resulting in saving 3 hours per month for each manager.
- Designed and implemented the entire workflow for finance and operations teams to reconcile the money movements of 30+ firm accounts, complying with regulations, improving productivity and ensuring accuracy in the finance system.
- Led multiple initiatives in adopting cutting-edge technologies like applying AI (OpenAI models, Amazon Bedrocks, Google Gemini) into solving complex problems, building pipelines and automation tooling.
- Identified 5+ bugs and uncovered inconsistencies within the vast data ecosystem through data analysis, validation, and reconciliation, thereby reducing risks and preventing significant harm to both customers and the company.
- Demonstrated mastery in visualization tools such as Looker, LookML and advanced SQL skills. Delivered superior preventive/detective controls, validation, and supervisory dashboards, instilling confidence in operations and leadership.
- Provided innovative data-driven solutions to cross-functional teams by translating complex problems into actionable insights, fostering a culture of analytics-driven decision-making.
- Guided database analysis, design, implementation, manipulation, and maintenance, leveraging tools such as Entity Relationship Diagrams, SQL, and MySQL.
- Conducted meticulous evaluations of student homework, quizzes, projects, and research activities.
- Utilized SQL for analyzing 5-10 million daily transactions from Hive (Hadoop) and performed ETL using R and Python for enhanced data analysis.
- Developed Tableau dashboards for anomaly monitoring and actionable insights. Enhanced Quality Assurance procedures for Zelle® fraud rules in the risk engine.
