Help & Supportcareers@gravityer.com
Data Engineer with less than a year in ETL, Python, 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/Business Analyst with 11 months of combined experience in developing data pipelines, optimizing reporting, and automating data processing tasks. Proficient in Python, SQL, Snowflake, and cloud platforms like Azure and AWS. Successfully improved operational visibility, reduced report load times, and enhanced data organization through strong analytical and data engineering skills.
Banaras Hindu University
MCA
July 1, 2021 – September 1, 2023
Birla Institute Of Technology Mesra
BCA
July 1, 2017 – June 1, 2020
Porter
Data/Business Analyst (Full-Time)
June 1, 2025 – November 1, 2025
Bengaluru, Karnataka, India
Porter
Data/Business Analyst (Internship)
November 1, 2024 – May 1, 2025
Bengaluru, Karnataka, India
ShopVista Data Engineering Pipeline - E-commerce Data Engineering
March 1, 2026 – March 1, 2026
Built an end-to-end data pipeline using PySpark and Databricks on Azure Data Lake, enabling scalable processing of structured e-commerce datasets. Designed medallion architecture (Bronze, Silver, Gold), improving data quality and structuring datasets for reliable reporting and analysis. Automated pipeline execution using Databricks Jobs, eliminating manual triggers and ensuring 100% scheduled pipeline runs.
View ProjectCOVID-19 Daily ETL Pipeline - Data Engineering / Automation
November 1, 2025 – November 1, 2025
Built an end-to-end ETL pipeline to fetch COVID-19 data from a public API, store raw JSON, process and clean data using Python (Pandas), and generate structured CSV output. Designed scheduled workflows using GitHub Actions (cron), enabling daily pipeline execution and maintaining up-to-date datasets with zero manual intervention. Loaded cleaned data into SQLite, simulating real-world data storage workflows.
View ProjectJoy of Computing using Python
NPTEL
June 1, 2026 – Present
SQL(Basic/Intermediate)
HackerRank
June 1, 2026 – Present
Cloud Computing
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and professional experience align well with a Data Engineer role, showcasing a breadth of skills in data pipeline development, automation, and cloud technologies. The diversity of projects (e-commerce, public health data) indicates adaptability and a willingness to tackle different data challenges. The certifications in Python, SQL, and Cloud Computing further support a strong foundational fit for data-centric roles.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work with stakeholders to deliver analytics-ready datasets and improve reporting performance, indicating good collaboration and problem-solving skills. The automation of tasks and optimization of pipelines suggest a proactive and efficiency-driven approach.