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Data Engineer with 4+ years in data pipelines and cloud 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 ~5 years of experience in designing scalable data pipelines and modern data platforms across AWS and GCP. Strong expertise in PySpark, Airflow, and distributed systems with proven ability to optimize data workflows, reduce processing time, and deliver high-quality datasets for analytics and business intelligence.
SPPU
B.E · Computer Science
August 1, 2018 – June 30, 2022
Maharashtra State Board
HSC
June 1, 2017 – May 31, 2017
CBSE Board
SSC
June 1, 2015 – May 31, 2015
Primotech
Data Engineer
December 1, 2024 – April 30, 2026
India
Infinite Tech Solutions
Data Engineer
June 1, 2021 – November 30, 2024
Pune, Maharashtra, India
Cultural Fit Analysis
The candidate's experience across diverse projects (data warehousing, cloud migrations, platform modernization) and two major cloud providers (AWS, GCP) suggests adaptability and a willingness to learn new technologies. Their involvement in mentoring and leading aspects of projects indicates a proactive and collaborative mindset. The breadth of skills and project types aligns well with a dynamic environment that values continuous improvement and cross-functional engagement.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through pipeline optimization and migration projects. Their experience in client interaction, cross-functional collaboration, and mentoring indicates good communication and teamwork abilities. The focus on data validation and monitoring suggests an attention to detail and commitment to data quality, which are crucial for operational reliability.