Data Platform Engineer with 7+ years in PySpark, AWS, and ML-driven data solutions.
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 7 years building production data pipelines and analytical platforms in clinical trials. Primary stack: PySpark on EMR, Airflow/MWAA orchestration, PostgreSQL/Redshift, S3 data lake, Terraform-managed AWS infrastructure. Led an ML-driven site mastering initiative deduplicating 3.5M+ records via dedupe.io. Built and own a Poisson-Gamma/Bayesian enrollment forecasting engine with Monte Carlo simulation serving multi-cohort, multi-arm pharma trials. Operate at the intersection of data engineering reliability, statistical model correctness, and production Python-from schema design through API layer to client delivery.
Chandigarh University
B.E. · Computer Science Engineering
August 1, 2019 – Present
ZS Associates
Tech. Lead - Platform and Products
November 1, 2020 – Present
Gurgaon, Haryana, India
Cognizant
Programmer Analyst
February 1, 2019 – November 1, 2020
Pune, Maharashtra, India
Big Data Fundamentals
Unknown
April 1, 2026 – Present
PySpark
Unknown
April 1, 2026 – Present
Cultural Fit Analysis
The psychometric test score of 0 raises significant concerns regarding the candidate's cultural fit, specifically in areas such as logical reasoning, work attitude, stress handling, and team collaboration. Without further assessment, it is difficult to ascertain suitability for team-oriented environments.
Soft Skills & Operational Fit
Despite the zero score in the psychometric assessment, the candidate's resume demonstrates strong operational capabilities through successful architecture, debugging, and optimization of complex data systems. However, the psychometric score (0/500) raises significant concerns regarding logical reasoning, work attitude, stress handling, and team collaboration, which are critical for senior roles.