Help & Supportcareers@gravityer.com
Data Engineer with 4+ years in Python & SQL
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 professional with hands-on experience in Python, SQL, data processing, and analytics. Skilled in building data pipelines, transforming and validating data, and creating insights through dashboards and reports. Strong analytical and problem-solving mindset with experience handling large and complex datasets. Seeking a Data Analyst role to contribute to data-driven decision-making and continuous learning in a fast-paced environment.
JNTUA COLLEGE OF ENGINEERING, PULIVENDULA
B-Tech · Mechanical Engineering
August 1, 2015 – June 30, 2019
Arkion
DATA QA SPECIALIST
July 1, 2025 – Present
India
Sahashra Technologies
PRODUCT ENGINEER
October 1, 2022 – June 30, 2025
India
Keerthika Technologies
Jr PRODUCT ENGINEER
April 1, 2021 – March 31, 2022
India
Delhi MSW Solutions
GET (Maintenance Engineer)
October 1, 2019 – November 30, 2020
India
Indian Stock Exchange Data Pipeline
June 24, 2026 – Present
• Built a production-grade stock market data pipeline using Python for automated data extraction and processing. • Implemented incremental data loading using JSON-based state tracking to efficiently process only new data. • Designed fault-tolerant retry mechanisms (immediate retry + batch retry) to handle API/network failures. • Performed robust data validation: Dropped critical null values (Date, Open, Close). Filled missing High/Low values using logical derivations. Corrected inconsistencies in price data. • Implemented duplicate handling using composite keys (Ticker + Date). • Built structured logging system (file + console) for monitoring and debugging. • Ensured atomic file operations using temporary files and os.replace to prevent data corruption. • Designed and integrated MySQL database for structured data storage and efficient querying. • Developed Power BI dashboards to visualize stock trends, price movements, and key financial insights. • Followed ETL architecture (Extract, Transform, Load) to build an end-to-end data pipeline.
Bloomberg Equity OCR Data Extraction Application
June 24, 2026 – Present
• Developed an OCR-based automation application to extract Bloomberg Equity reference data from PDF images using Python, OpenCV, and Tesseract OCR. • Automated the extraction of key financial data including Ticker, Description, Currency, BBG Number, ISIN, and Industry Type from Bloomberg documents. • Implemented custom image-processing, validation, and character-verification logic to improve OCR accuracy and handle common recognition errors. • Reduced manual extraction effort from approximately 2 hours per 100 images to 6–7 minutes of automated processing with only 10 minutes of verification. • Improved operational efficiency by approximately 85–90% for large batches containing 500–1000 images. • Built a scalable batch-processing pipeline capable of processing multiple PDF files and generating consolidated Excel reports with consistent accuracy. • Developed a FastAPI-based backend with background processing, live status tracking, failed-file reporting, and automated Excel export functionality. • Standardized extracted financial data into structured Excel outputs for downstream financial analysis and reporting workflows. • Applied production-oriented software engineering practices including modular architecture, logging, error handling, type hints, and API-driven design.
Cryptocurrency Data Analysis & Visualization Dashboard
June 24, 2026 – Present
• Built end-to-end crypto data pipeline integrating Binance API and historical market data. • Automated data collection, standardization, SQL database upload, and Power BI refresh process. • Enabled one-click execution for data ingestion and one-click refresh for dynamic dashboard updates. • Designed structured schema for trade history, account metrics, and price data for analytical use.
Personal Finance & Budget Tracking Application(Python Base)
June 24, 2026 – Present
• Developed a Python-based application to track income, expenses, and savings patterns. • Categorised transactions into custom groups (rent, food, travel, utilities, etc.). • Generated monthly summaries and spending insights. • Built visual dashboards to monitor financial discipline and savings trends. • Implemented Excel-based data storage and reporting automation.
Automated Data Extraction from Semi-Structured PDFs
June 24, 2026 – Present
• Developed automation logic to extract and standardize ~20,000 lines of semi-structured tabular data from complex PDFs. • Eliminated manual effort of ~72 hours per month by reducing processing time to ~7 minutes per cycle. • Achieved >95% time reduction and enabled structured Excel output for further reporting. • Designed robust parsing logic to handle non-uniform layouts where standard Excel extraction tools failed.
Generative AI – 48 Hour Intensive Program
Outskill
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project portfolio showcases a strong initiative and passion for data engineering, even with a non-traditional educational background. The diversity of projects, from financial data extraction to cryptocurrency analysis and personal finance, indicates a broad interest in applying data solutions across various domains. Their experience in product engineering and data QA roles, combined with a desire for a Data Engineer role, suggests an alignment with roles that require both technical depth and practical application. The candidate's self-driven learning and project development demonstrate a proactive and adaptable mindset, which is valuable for cultural fit in dynamic technical environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, attention to detail, and a commitment to improving operational efficiency through automation. Their project descriptions highlight an ability to identify manual bottlenecks and develop scalable, robust solutions. Experience in data QA and product engineering roles suggests a structured approach to quality control, testing, and process documentation, which aligns well with operational excellence. The candidate's proactive approach to learning, as evidenced by personal projects and a Generative AI certification, indicates a good cultural fit for continuous improvement and innovation.