Hi, I'm Shubham Singh.
Data Engineer & Python Consultant | Analytics & Automation
Data Analyst and Python Consultant with 3+ years of experience transforming complex datasets into high-impact business intelligence, automated ETL pipelines, and scalable backend applications. Proven expertise in Python, SQL, Power BI, workflow orchestration, and building production-ready data systems.
README.md / Tech Stack
| Category | Technologies & Tools |
|---|---|
| Languages & Core |
Python
SQL (Advanced)
FastAPI
Django
Pandas
NumPy
Bash
|
| Databases & Storage |
PostgreSQL
MySQL
SQLite
Snowflake
MS SQL Server
|
| BI & Analytics |
Power BI
Tableau
Retool
Excel Modeling
ETL Pipelines
|
| Workflow & Orchestration |
Git
GitHub
Docker
n8n Automation
Linux
|
Try My Apps
Live apps hosted directly on this platform. Launch any app to test in real time.
Project Task & Sprint Tracker
Database-backed interactive board tracking our roadmap and sprint milestones. Add, filter, and complete tasks.
URL Shortener & Analytics
Custom URL redirection engine with SQLite click-counters, referrers, and real-time link usage metrics.
JSON & Schema Inspector
In-browser developer utility to format, validate, compare payloads, and inspect complex JSON data trees.
Professional Experience
Career history in data engineering consulting, fintech systems, and enterprise analytics.
Lead Python & Data Architecture Consultant
Ducat- › Architecting enterprise-scale Python data services, asynchronous processing engines, and high-throughput data extraction systems for enterprise clients.
- › Spearheading end-to-end data pipeline redesigns, boosting processing throughput by 42% and eliminating manual reporting bottlenecks.
- › Directing curriculum and mentoring 120+ senior developers and data engineers on modern Python architecture, distributed computing, and machine learning workflows.
- › Consulting on cloud warehouse migration strategies (PostgreSQL/Snowflake) and instituting rigorous automated validation testing.
Data Analyst & Automation Engineer
LNP Infotech- › Processed and analyzed financial and operational transaction data for U.S.-based credit card and mortgage lending clients.
- › Engineered automated n8n workflows for automated document verification, audits, and real-time compliance alerting.
- › Designed relational schemas in PostgreSQL, optimizing complex multi-table queries for high-concurrency executive reporting.
- › Developed responsive internal tools and dashboards with Retool, cutting resolution time for inter-departmental inquiries.
Data Analyst & Technical Instructor
Netmax Technologies- › Processed enterprise datasets using Python, SQL, and Excel, producing actionable business insights and retention metrics.
- › Engineered interactive Power BI & Tableau dashboards with automated refresh intervals for cross-functional stakeholders.
- › Constructed automated ETL extraction scripts in Python to streamline cross-database synchronization.
Software & Data Developer
JKM Amusements- › Built internal operations dashboards and inventory tracking applications using Python and Django.
- › Designed and implemented RESTful APIs integrating backend database operations with front-facing operational portals.
- › Constructed centralized MySQL data warehouse consolidating disparate ticketing, retail sales, and visitor engagement streams.
Enterprise & Industry Projects
Production data systems, warehouse pipelines, and business intelligence suites.
Adidas Retail Intelligence Dashboard
Comprehensive Power BI analytics platform tracking retail performance, inventory turnover velocity, and multi-region sales forecasts.
Automated Multi-Source Data Warehouse
Centralized warehousing architecture consolidating disparate sales, operations, and finance APIs into optimized relational analytical schemas.
Event Analytics & Ticketing Hub
Interactive event intelligence suite combining ticket sales velocity, attendee demographic segmentation, and ROI attribution.
Bachelor of Technology (B.Tech)
Electronics & Communication Engineering
Industry Certifications
Let's Connect & Build
Available for Python consulting, data engineering pipelines, and full-stack backend development.