Description

• Good hands-on years of experience in designing, building, and maintaining robust data pipelines using Python and SQL.
• Expert in writing complex SQLs
• Develop reusable scripts for data extraction from various structured and semi-structured file formats.
• Write optimized and scalable queries to retrieve, clean, and transform data for analytics and reporting.
• Integrate data from different sources, including APIs and multiple databases.
• Work closely with analysts, data scientists, and business stakeholders to deliver clean, reliable datasets for analysis.
• Document data workflows and ensure best practices in coding and version control.
• Good to have experience on Paginated Reports and Power BI issues, Power BI Development, enhancement, and Migration.
• Core Python: Expert-level proficiency in writing efficient, modular, and production-grade Python code for data extraction, transformation, and loading (ETL) processes.
• SQL & Databases: Highly skilled in writing complex SQL queries, stored procedures, and optimizing database interactions. Hands-on experience connecting Python scripts with various relational databases (e.g., PostgreSQL, MySQL, SQL Server).
• Data Source Integration: Extensive experience working with diverse file-based data sources such as  CSV, JSON, and Excel, including parsing, transforming, and integrating them into ETL pipelines.
• API & DB Connectivity: Exposure to consuming REST APIs for data ingestion and integrating multiple database sources in a unified workflow

Key Skills

Education

Bachelor's degree