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Data Engineer with 4+ years in ETL pipelines and AWS data platforms.
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 4.2+ years of experience designing and operating ETL pipelines and analytics solutions on AWS. Strong in PySpark, Python (Pandas/NumPy), SQL and cloud data platforms (Glue, S3, Athena, Lambda, RDS). Proven ability to translate business needs into reliable, performant data workflows and accelerate reporting for clinical and enterprise domains.
Nagpur University
Bachelor of Engineering
August 1, 2016 – June 30, 2020
Indira Gandhi High School
SSC (State Board)
June 1, 2014 – May 31, 2014
Accenture Solutions Pvt Ltd
Data Engineer
February 1, 2022 – Present
India
Study Level Specification Clinical Report Generation
February 1, 2022 – Present
Built and orchestrated scalable ETL pipeline using AWS Glue + Python to ingest data from SharePoint, Oracle, and other sources into S3 for clinical-reporting workflows. Implemented PySpark transformations and data-quality rules (missing values, deduplication, outlier handling) to produce Power BI-ready datasets. Reduced report generation time from >1 hour to a few minutes by introducing pre-aggregation and optimized transformations. Ensured data consistency and accuracy by implementing PySpark transformations and robust validation checks during and post ingestion to produce Power BI-ready datasets. Implemented a notification mechanism to alert users and the development team for any Airflow job failure and the source team for remediation of source files. Prepared SDLC documentation to support structured development and ensure compliances with software lifecycle standards. Performed end-to-end analysis for new requirements from the business.
Study Build Automation Tool
February 1, 2022 – Present
Built scalable ETL pipelines using AWS Glue and Airflow to ingest, transform and load data for reporting workflows. Wrote complex SQL and AWS Glue jobs for transformations and performance tuning. Performed EDA and profiling to identify data issues and implemented automated remediation steps; collaborated with clinical and QA teams for validation. Utilized DynamoDB for auditing all tables and managing configuration changes as required. Worked on existing production bugs and also made adjustments according to new templates of source files. Collaborated with front end UI developers and cross-functional teams.
AWS Certified Developer Associate
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Accenture, a large consulting firm, suggests an ability to adapt to diverse project environments and client needs. Their involvement in clinical reporting workflows indicates experience in regulated or sensitive data environments. The focus on optimizing processes and delivering efficient solutions aligns with a results-oriented culture. The breadth of AWS skills and continuous learning (AWS Certified Developer Associate) indicates a proactive and growth-oriented mindset, which is a good cultural fit for dynamic technical teams.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, evidenced by successfully delivering high-priority production bug fixes and optimizing report generation. Their collaboration with clinical, QA, and front-end teams indicates good teamwork and communication. The mention of preparing SDLC documentation and adhering to agile methodologies suggests an organized and process-oriented approach to development. The candidate also shows initiative in upskilling and delivering ahead of schedule.