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Data Engineer with 4+ years in Data Analytics & Cloud
An Innovative Senior Software Engineer with 3+ years of expertise in Data Analytics, Data Visualization, SQL, Snowflake, and cloud-based data technologies. Adept at developing, optimizing, and maintaining complex data-driven applications. Proven ability to design automated risk reporting pipelines, efficient ETL processes, work with large datasets, and collaborate across teams to deliver high-performance solutions. Skilled in enterprise data management, data quality, data visualization (Tableau, Power BI) data warehousing, and performance tuning.
Theem College of Engineering
Bachelor of Engineering
N/A – June 30, 2020
St. Francis High School
SSC
N/A – May 31, 2013
Bhausaheb Vartak Polytechnic
Diploma in Engineering
N/A – June 30, 2016
Capgemini Technology Services India Ltd.
Senior Software Engineer, Insights & Data Global Business Line
January 1, 2024 – Present
India
Capgemini Technology Services India Ltd.
Software Engineer, Insights & Data Global Business Line
June 1, 2022 – January 1, 2024
India
AWS Certified Cloud Practitioner
Amazon Web Services
June 1, 2026 – Present
AWS Certified Developer - Associate certification
Amazon Web Service
June 1, 2026 – Present
Snowpro Core Certified
Snowflake
June 1, 2026 – Present
DBT (Certification of learning DBT from scratch)
Unknown
June 1, 2026 – Present
Hands on Essentials - Data Sharing
Snowflake
June 1, 2026 – Present
Hands on Essentials - Data Warehouse
Snowflake
June 1, 2026 – Present
Certified in Agile Software Development
University of Minnesota
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's experience across two distinct projects within Capgemini (Boehringer-Ingelheim and NBC) demonstrates adaptability and exposure to different business contexts. Their certifications in Agile Software Development and experience with CI/CD pipelines indicate a modern, iterative approach to development, aligning well with contemporary engineering cultures. The breadth of skills in data engineering, cloud, and visualization tools suggests a versatile individual capable of contributing to diverse data initiatives. The mentorship experience also points to a collaborative and growth-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving and leadership skills, as evidenced by leading QA automation and mentoring junior developers. Their experience in agile project tracking (Jira, Trello, Confluence) indicates good operational fit for structured development environments. Collaboration with risk management teams and experience in designing scalable data models suggest an ability to translate business requirements into technical solutions. The focus on improving data accuracy and reducing manual effort points to a results-oriented mindset.