AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Python Engineer with 5+ years in Data Engineering & AI.
Results-driven Senior Associate Consultant with 5+ years of experience in Python, Data Engineering, Business Intelligence, and Web Development. Expertise in migrating legacy SAS workflows to Python/PySpark, improving scalability, maintainability, and performance in big data environments. Strong experience in ETL pipeline design, data transformation, and data integration across multiple sources. Proficient in test-driven development using Pytest, ensuring high-quality and reliable code. Hands-on expertise in building scalable web applications using Django (API, backend, frontend). Demonstrated ability to improve database performance by 78% through query optimization and indexing strategies. Experienced in Power BI data modeling and dashboard design for business decision-making. Strong background in data analysis, machine learning, and visualization using Pandas, NumPy, and Python libraries. Developed Generative AI solutions, including document-based Q&A chatbot systems. Proven experience working across the complete software development lifecycle (SDLC). Excellent collaboration, problem-solving, and stakeholder communication skills.
Sinhgad College of Science, Pune (SPPU)
M.Sc. · Computer Science
August 1, 2018 – June 30, 2018
Capgemini Technology Services India Ltd
Senior Associate Consultant (Python / BI / Data Engineering)
January 1, 2022 – Present
Pune, Maharashtra, India
AXCSS Ventures LLP
PHP Developer
October 1, 2018 – May 1, 2019
Pune, Maharashtra, India
Cognizant Technology Solutions
Test Trainee
April 1, 2017 – August 1, 2017
Pune, Maharashtra, India
GNP
December 1, 2024 – January 1, 2025
Designed and implemented interactive Power BI dashboards for business insights. Built robust ETL pipelines and SQL-based data transformation processes. Developed scalable backend services using Python (Django/Flask). Migrated legacy SAS models into PySpark workflows, improving efficiency. Built Generative AI chatbot solutions using Python and NLP techniques. Worked with Google ADK Labs (Agentic AI development tools). Collaborated with stakeholders and acted as SME for technical discussions. Designed multi-threaded applications for improved performance. Optimized MySQL queries, achieving significant system performance gains.
ORWA Models (SAS2PY)
January 1, 2022 – November 1, 2024
Converted complex SAS workflows into Python/PySpark pipelines. Designed and maintained ETL jobs and SQL transformation scripts. Integrated multiple data systems and automated batch processing. Performed unit testing, debugging, and production support. Ensured high availability and performance of data processing systems.
Australian Website
December 1, 2018 – May 1, 2019
Built and maintained backend services for web applications. Improved application performance and scalability. Handled debugging and resolved complex system issues.
Maharashtra Police Application
October 1, 2018 – December 1, 2018
Tested, enhanced, and reconstructed application modules.
Airline Application
May 1, 2017 – August 1, 2017
Conducted manual testing and validation. Developed and executed detailed test cases.
Cultural Fit Analysis
The candidate's project diversity, including data engineering, web development, and AI, suggests a broad interest and adaptability. Their experience in various team sizes (6 to 16) and roles (developer, consultant, trainee) indicates a willingness to work in different team structures. The focus on improving efficiency and performance aligns with a results-oriented culture. The transition from PHP to Python and AI also shows a commitment to continuous learning and staying current with technology trends.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, collaboration, and communication skills through their SME role and cross-functional team interactions. Their experience in leading migrations and optimizing systems suggests a proactive and results-driven work attitude. The diverse project experience indicates adaptability to different operational environments.