Kaustubh Karlekar

Data Engineer @Tata Consultancy Services

Work on Python test framework tools, including Pytest, PyUnit. • As part of the ETL process, I worked on the design and implementation of Unix shell scripting to automate the loading process. • ETL activities included retrieving and pushing data from and to various servers. • To automate the ETL processes that run every hour, I wrote Python and batch scripts. • ETL scripts in Python were written to retrieve data from one database table and insert or update the resulting data in another database table. • Python scripts were written to read XML documents and load the contents into a database. • Developed an E-Commerce capstone project using Angular 8, MongoDB, Node Js and Express middleware. • Created data pipelines and Implemented a CI/CD pipeline in Microsoft Azure. • Cleaned data and processed third-party spending data into maneuverable deliverables within specific formats with excel macros and python libraries. • Experience developing User profile using popular Python framework (like Django, Flask and Pyramid) • Developed Machine Learning applications to automate tasks throughout the company such as client sales prediction, demand forecast. • Visualized data using python libraries such as matplotlib, NumPy and pandas. • Object-oriented Python, Flask, SQL, Beautiful Soup, HTTPLIB2, JINJA2, HTML/CSS, BootStrap, Jquery, Linux, Sublime Text, and GIT were used to create this. • Created, tested, and debugged software tools for clients and internal customers. • Extensive experience building test strategies and test cases, as well as testing and validating web-based applications. • The program was developed using a test-driven method, with unit tests written in Python using the Python unit test framework. • Expertise evaluating Python code to perform troubleshooting test-cases and resolve problem issues.