Data Engineering
Databricks
PySpark
Delta Lake
Auto Loader
Structured Streaming
Data Engineering & Analytics Enthusiast
B.Tech CSE | GITAM UniversityCurious about data and how it works.
Interested in data engineering, analytics, Databricks, PySpark, and practical problem solving.
Overview
Data engineering and analytics focused, with hands-on experience in Databricks, PySpark, SQL, and reporting.
Experience across Accenture, Qualcomm, and Ozibook has shaped my interest in building reliable data workflows, working with analytics tools, and turning structured data into useful insight.
About
I enjoy understanding how data is collected, transformed, and used in decision-making. My current focus is on ETL workflows, Databricks, analytics, and clear reporting through SQL and Power BI.
Skills
A focused stack for data engineering and analysis.
Analytics
SQL
Power BI
Tableau
Excel
Programming
Python
SQL
Libraries
Pandas
Matplotlib
Seaborn
Tools
Google Colab
Google Sheets
GitHub
Experience
Internship experience with strong data and reporting exposure.
Data Engineering Trainee (Pre-boarding)
Accenture
- Built data pipelines in Databricks using Bronze-Silver-Gold architecture as part of training, working with both batch and streaming data.
- Ingested and processed data using Auto Loader, with transformations built in PySpark and Spark SQL.
- Developed workflows using Structured Streaming and batch processing for smoother and more reliable data flow.
- Worked with Delta Lake for storage and SQL-based analysis to support dashboard-ready insights.
Software Interim Engineering Intern
Qualcomm
- Designed Power BI dashboards while updating more than 4,000 records weekly to maintain data accuracy.
- Built a 13-page Power BI dashboard presentation for JIRA ticket analysis, visualizing more than 1,000 raised tickets.
- Assessed ticket status trends and supported reporting tied to a 90% resolution rate.
- Presented findings to senior management to improve visibility into key metrics, trends, and operational efficiency.
Data Analyst Lead Intern
Ozibook
- Led a team of 10 to 15 interns organized into 2 to 3 project teams to analyze social content and generate leads.
- Analyzed and summarized more than 1,000 records using the OpenAI API to identify high-performing content categories.
- Used Power BI to analyze summarized content and presented findings that contributed to a 20% increase in engagement.
- Delivered 12 recurring projects on time using Google Colab, Sheets, Excel, Python, and Power BI to streamline workflow.
Featured Projects
Projects with a clear engineering and analysis focus.
Data Engineering
Fire Incident Monitoring & Analytics Pipeline
A real-time analytics pipeline built for fire incident monitoring using ingestion, streaming transformation, and SQL analytics.
- Real-time ingestion for incident data
- PySpark streaming transformations
- Delta Lake and SQL analytics
Security Engineering
Multi-Factor Authentication System
A security-focused authentication system combining chaotic key generation and biometric fingerprint verification.
- Chaotic key generation logic
- Biometric verification flow
- Security and usability balance
Certification
Core training that supports the fundamentals.
Salesforce Launchpad Program
PWC
Salesforce, Java, RDBMS, and Fundamentals of IT.