KANAGAJOTHI VENKADESH
Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineer with 6+ years in Python, SQL, ETL & Full Stack Development.
Experienced Data Engineer with 6+ years of expertise in Python, SQL, ETL development, and scalable data processing systems. Skilled in designing metadata-driven applications, data transformation workflows, API integrations, and enterprise product development. Hands-on experience in Angular, AWS, Power BI, and database management with strong problem-solving and analytical skills. Experienced in Agile development environments and building efficient, scalable, and maintainable applications.
BITS Pilani
MTech · Data Science & Engineering
August 1, 2023 – Present
Mepco Schlenk Engineering College
B.E · Computer Science
August 1, 2020 – June 30, 2020
Comcast
Product Development Engineer 2
April 1, 2022 – Present
Chennai, Tamil Nadu, India
Comcast
Product Development Engineer 1
July 1, 2020 – April 1, 2022
Chennai, Tamil Nadu, India
Comcast
Graduate Student Intern
January 1, 2020 – June 1, 2020
Chennai, Tamil Nadu, India
ETL Data Processing System
June 5, 2026 – Present
• Developed ETL workflows for processing and transforming large-scale datasets. • Automated data extraction, validation, and transformation processes. • Optimized data processing pipelines for improved efficiency.
Dynamic Metadata Framework
June 5, 2026 – Present
• Developed configurable metadata-driven UI framework for enterprise applications. • Implemented dynamic validations, dependency handling, async dropdowns, and override management. • Built reusable components improving scalability and maintainability.
Cultural Fit Analysis
The candidate's experience at a large enterprise like Comcast for over 6 years, progressing through different roles, suggests adaptability and commitment. The diverse project experience, including both ETL systems and metadata frameworks, indicates a broad technical interest and ability to contribute to various aspects of data engineering. The pursuit of a Master's degree while working demonstrates a commitment to continuous learning and professional growth, which aligns well with a culture of innovation and improvement.
Soft Skills & Operational Fit
The candidate's resume indicates experience in Agile development environments and a focus on building efficient, scalable, and maintainable applications, suggesting a good operational fit. The descriptions of optimizing processes and building reusable components highlight problem-solving and analytical skills. While direct soft skill assessment is limited, the project and work descriptions imply a collaborative and results-oriented approach.