Create and implement data analysis pipelines, including data access, ingestion, munging / manipulation / cleansing, analysis / modelling, testing, deployment / integration into business applications and services.

Enhance operational aspects of businesses by increasing control of the company's data.

Working in cross-functional teams to provide data-driven solutions for increased efficiency and productivity.

Provide data-driven solutions for increased efficiency and productivity. Identify, design, and implement internal process improvements including automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.

Built and optimized raw data ETL and ELT pipelines, architectures, and data sets. Converted raw data to processed and actionable information. Transformed, integrated, and cleaned the data, making it usable for teams across the business.

Specialized in API and web services development (FLASK, WEB, Bottle), manipulation (JSON, XML) and deployment (Heroku, GCP) in Python, and also working with Django.

Worked on the design and development of desktop and web based applications in C# and VC++ .NET, both in front-end and back-end.

Involved in multiple projects, including E-Commerce Applications, Payment Gateway Integration, Management Systems, Point of Sale systems, and Crawlers to extract specific data.

Developed SQL Database based systems and supported new business systems by providing the necessary modifications. Ensured quality of system through comprehensive unit testing and collaboration with quality assurance engineers to enable thorough system testing.

Took part in the analysis, problem definition, requirements gathering, solution development, and proposed solutions for multiple clients.

Implemented database driven solutions, using OLEDB, ORACLE, and SQL, as well as web development using multiple technologies.

Applied statistics to problem-solving initiatives, as well as best practices, and standard operating procedures.