Professional Summary
Technology professional with 17+ years of experience across software development, Oracle database development, technical training, and modern data engineering.
Hands-on experience in designing and building data engineering solutions
using Python, SQL, Apache Spark, Apache Kafka, PostgreSQL, Google BigQuery,
FastAPI and Docker.
Experienced in designing ETL pipelines, data ingestion workflows, batch processing and real-time streaming solutions.
Built real-world data engineering projects including streaming analytics pipelines, AI-powered knowledge assistants, automation workflows and analytical dashboards as part of Sankalan Data System, a technical learning and engineering platform.
Experienced in batch processing, streaming pipelines, data modeling and building data platforms for analytics and AI applications.
Key Achievements
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Designed and built an end-to-end real-time analytics pipeline using Google Analytics 4, Apache Kafka, Apache Spark Structured Streaming, PostgreSQL, Google BigQuery and Streamlit.
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Designed real-time data processing workflows to capture,
process and analyze user activity data.
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Developed Python automation tools for technical content generation,
publishing workflows and repetitive engineering tasks.
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Built an AI-powered knowledge assistant using vector search,
embeddings and Large Language Models for technical documentation.
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Built and maintained an engineering platform demonstrating data pipelines,
automation systems, analytics solutions and AI-powered applications.
Featured Projects
Real-Time Data Engineering Pipeline for Website Analytics
Python
Apache Kafka
Apache Spark Structured Streaming
PostgreSQL
Google Cloud Platform (GCP) BigQuery
FastAPI
Streamlit
Docker
GA4
GTM
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Designed an end-to-end analytics pipeline to capture and process
website user activity data from Sankalan Data System.
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Integrated Google Tag Manager and Google Analytics 4 to collect
page views, clicks, sessions and user interaction events.
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Used Apache Kafka as an event streaming layer for reliable ingestion
of incoming analytics events.
Designed streaming architecture using Kafka topics, Spark Structured Streaming jobs, checkpointing and fault-tolerant processing.
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Processed streaming data using Apache Spark Structured Streaming
and performed transformations before storing curated data.
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Stored analytical datasets in Google BigQuery and operational data
in PostgreSQL for reporting and application use cases.
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Created Streamlit dashboards to visualize website traffic,
engagement metrics and user behavior analysis.
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Implemented the complete data flow including event collection,
stream processing, storage and visualization.
AI-Powered Technical Knowledge Assistant
Python
LangChain
FAISS
HuggingFace Embeddings
LLM
RAG
FastAPI
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Built a Retrieval-Augmented Generation (RAG) based AI assistant by designing document ingestion pipelines, embedding generation workflows and semantic search architecture.
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Created document ingestion pipelines to convert website content
into searchable vector embeddings.
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Implemented semantic search using FAISS vector database
and HuggingFace embedding models.
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Designed a hybrid response approach where relevant internal
knowledge is searched first and an LLM is used for additional
context when required.
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Developed API endpoints using FastAPI to integrate the assistant
with applications.
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Used this system for answering technical questions related to
SQL, Python, Data Engineering and programming concepts.
Automated Content Publishing Pipeline
Python
GitHub Actions
Google Drive API
YouTube Data API
SQLite
CSV Automation
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Developed an automated workflow to manage technical video
content publishing.
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Created Python scripts to manage video metadata,
file movement and publishing status.
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Integrated Google Drive and YouTube APIs for automated
video upload workflows.
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Maintained content tracking using SQLite databases,
CSV files and automation scripts.
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Reduced manual steps involved in content publishing
and improved consistency of the workflow.
AI-Powered Technical Content Generation Platform
Python
LLM
Prompt Engineering
HTML Templates
SEO
Automation
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Built a Python-based automation tool to generate technical
tutorial content from structured inputs.
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Generated explanations, examples, FAQs and interview questions
using AI-assisted workflows.
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Created reusable HTML templates to convert generated content
into website-ready tutorial pages.
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Integrated generated content into the Sankalan Data System
technical learning platform.
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Improved efficiency of creating and maintaining large-scale
technical documentation.
Technical Skills
Programming & Data Engineering
Python
SQL
PL/SQL
PySpark
Apache Spark SQL
Apache Kafka
FastAPI
REST API
ETL Development
Databricks
Apache Airflow
Database, Cloud & Analytics
Data Modeling
Star Schema
Oracle Database
PostgreSQL
Google BigQuery
SQLite
Docker
GitHub
Google Analytics 4
Google Tag Manager
Power BI
Data Warehousing & Data Lake Concepts
AI & Generative AI Data Engineering
LangChain
RAG Architecture
FAISS
Vector Database
HuggingFace Embeddings
LLM Integration
AI-powered Data Applications
Machine Learning Fundamentals
Professional Experience
Founder & Independent Data Engineer
Sept-2023 - Present | Pune, India
Sankalan Data System
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Building practical data engineering solutions using Python, SQL, Apache Spark, Apache Kafka, PostgreSQL and Google BigQuery.
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Designed, developed and maintain
www.sankalandtech.com
, a technical learning platform featuring tutorials, interview questions, coding exercises and technical documentation on SQL, Python, Data Engineering, Apache Spark, Kafka, Power BI and AI technologies.
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Designed and developed real-time analytics pipelines, automation workflows and AI-powered knowledge systems.
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Developed data applications using FastAPI, Streamlit and modern Python frameworks.
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Created SEO-optimized technical content and implemented information architecture, internal linking and technical SEO best practices to improve organic search visibility and user engagement.
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Built Python automation tools for technical content generation, publishing workflows and website maintenance, reducing manual effort and improving content consistency.
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Developed and published 400+ technical tutorial pages covering SQL, Python,C,Java, Power BI and Data Engineering concepts for developers and learners.
Oracle SQL & PL/SQL Developer
2 Years
Freelance
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Worked on Oracle database development and SQL performance
optimization.
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Analyzed execution plans, optimized queries and improved
database performance.
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Worked on database design, indexing, stored procedures
and PL/SQL programming.
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Supported enterprise applications with database-related
development and troubleshooting.
Senior Technical Trainer & Database Specialist
11+ Years
Freelance Technical Trainer
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Delivered corporate and individual training programs on Oracle Database,
SQL, PL/SQL, Python and database technologies.
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Trained developers, database professionals and engineering
teams on practical software development skills.
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Created hands-on training material focused on SQL queries,
performance tuning, database design and programming.
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Worked closely with learners to solve real-world technical
problems and improve engineering skills.
Software Developer
1.5 Years
Mentor IT's Linosoft Services
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Worked on enterprise application development and backend
modules for business applications.
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Designed database structures, implemented SQL queries and
developed application features.
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Worked on reporting modules, database integration and
application maintenance.
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Collaborated with teams to deliver software solutions
based on business requirements.
Education & Certifications
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Master of Computer Applications (MCA)
Savitribai Phule Pune University, 2006
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Bachelor of Science
(Mathematics, Physics & Computer Science)
Dr. Babasaheb Ambedkar Marathwada University, 2003
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Oracle Certified Associate (OCA)
Oracle Database Administration
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Microsoft Certified
HTML5 with JavaScript and CSS3