
Arbaz Pawaskar
@arbazpawaskar
Data engineer with Indian Oil experience who automated reporting pipelines, reducing manual effort by 40%.
What I'm looking for
At Planet ECom Solutions, I worked on enterprise data analysis for Indian Oil Corporation Ltd., writing SQL queries for data extraction and transformation. I also automated Python reporting pipelines, reducing manual effort by 40%.
I built interactive Excel dashboards using Pivot Tables and Power Query to support business decisions, and performed anomaly detection and statistical analysis.
For my End-to-End Data Pipeline for Analytics & ML project, I built an ETL pipeline with Python, SQL, PySpark, and Apache Airflow. It processes flight, weather, and cancellation datasets through Bronze, Silver, and Gold layers, with incremental loading and data validation.
I also built a customer feedback analytics system with FastAPI, React, and PostgreSQL, including Transformer-based sentiment analysis and interactive dashboards. I’m interested in data engineering work involving pipelines, workflow orchestration, and analytics-ready data.
Experience
Work history, roles, and key accomplishments
Data Analyst
Planet ECom Solutions
Dec 2024 - Mar 2026 (1 year 3 months)
Deployed at Indian Oil Corporation Ltd., working on large-scale enterprise data analysis. Wrote complex SQL queries for data extraction and transformation, automated ETL/reporting pipelines with Python, and built interactive dashboards using Excel.
Resolved technical and system-related issues ensuring SLA compliance. Generated daily and weekly performance reports using Excel and assisted in root cause analysis and issue tracking.
Education
Degrees, certifications, and relevant coursework
IIHT Kharghar
Post Graduate Diploma, Data Science
Completed a Data Science Post Graduation course.
Dnyandeep College, Khed, Mumbai University
Bachelor of Science, Computer Science
Grade: CGPA 9.22
B.Sc. in Computer Science with a CGPA of 9.22.
SMCS College, Dapoli, Maharashtra
Higher Secondary Certificate, Science
Grade: 64%
H.S.C in Science with a percentage of 64%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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