- Develop and maintain Python scripts and programs for data processing tasks on a continuous basis.- Collaborate with cross-functional teams to understand data requirements and design efficient data processing workflows.- Collect, extract, and manipulate data from various sources, ensuring data quality and consistency.- Apply data cleansing techniques to identify and resolve errors, inconsistencies, and missing information.- Perform data transformations, aggregations, and calculations to derive meaningful insights from raw data.- Implement data validation and verification techniques to ensure the accuracy and integrity of processed data.

- Designing, developing and maintaining web applications using Python and related technologies- Utilizing web frameworks like Flask and FastAPI Implementing site monitoring and performance optimization techniques- Employing technologies like Elasticsearch, Logstash, and Kibana (ELK stack) for logging and monitoring- Storing data with PostgreSQL, MongoDB and Elasticsearch- Collaborating with cross-functional teams to deliver high-quality solutions

- Designed and developed a resume parsing system using the Django framework and SQLite database.- Implemented algorithms and techniques to extract relevant information from resumes, including contact details, work experience, skills, and education.- the resume parser with existing systems and applications to facilitate seamless resume processing and data extraction.- Developed robust data validation and error handling mechanisms to ensure accurate parsing results.- Utilized AWS S3 for secure and scalable storage of resume files.- Optimized the performance and scalability of the resume parser to handle large volumes of resumes and implemented efficient parsing algorithms.- Conducted thorough testing and debugging to identify and resolve issues or discrepancies.- Collaborated with stakeholders to gather feedback, make necessary enhancements, and ensure the effectiveness of the resume parsing system.