Abhijit Pathak

Background

About Abhijit Pathak

With over 15 years of IT experience, I specialize in data engineering within the investment banking domain, currently working as a lead Data Engineer(Consultant) for a leading investment bank. Key Highlights Equity Reporting Expertise: Extensive experience in equity reporting, including data modeling, design, and development for complex reports that support critical business needs. Leadership and Team Management: Successfully lead a team of 7 data engineers, overseeing project execution, mentoring team members, and ensuring efficient collaboration to meet project deadlines and quality standards. Technical Skills: Data Processing and Automation: Proficient in Python (with Pandas and PySpark) for large-scale data processing and transformations, as well as Perl for automation tasks. Cloud and Database Expertise: Skilled in Snowflake for cloud data warehousing, leveraging its capabilities for data storage, transformation, and performance optimization. Unix Environments: Strong command of Unix environments, streamlining workflows and managing processes effectively. Database and SQL Development: Extensive experience with various database platforms, along with advanced SQL development for querying, data manipulation, and optimizing data retrieval processes. Data Pipeline Development: Responsible for building, testing, and deploying end-to-end data pipelines, ensuring robust data flow from source to destination with a focus on performance, scalability, and error handling. Design and Modeling: Responsible for end-to-end design and data modeling, ensuring accurate and timely data delivery in support of equity report development. Report Development and Delivery: Oversee the development, testing, and deployment of reports for business units, maintaining alignment with stakeholder requirements and ensuring high data quality. Production Support: Manage the production support of the equity reporting infrastructure, handling maintenance, troubleshooting, and performance monitoring to ensure data reliability. Collaboration with Stakeholders: Skilled in collaborating with product owners, business units, and clients to ensure data solutions meet business goals and client expectations.