DATA ENGINEER · BACKEND DEVELOPER

Ninad Sharma | Data Engineer | Data Analyst | Python Backend Developer

I build scalable data pipelines, cloud-native applications, and backend systems with a focus on performance, reliability, and clean engineering. Passionate about solving complex business problems through software and data.

View Selected Work Download Resume
15+
Projects Delivered
100%
Commitment
6+
Engineering Domains
Available for Full-Time Opportunities
Current Focus Data Engineering & Backend Development
Preferred Region India · Remote · Global Opportunities
Primary Stack Python · SQL · PySpark · Scala
Backend Airflow · Databricks · ETL/ELT
Cloud AWS · Azure · GCP
Availability Open to Work
Python SQL PySpark Scala Airflow Databricks ETL/ELT FastAPI Docker Kubernetes AWS Azure GCP BigQuery
About

Data & backend engineering with clarity, precision, and long-term thinking.

I enjoy building systems that remain dependable as they grow. Whether designing scalable ETL/ELT pipelines, developing backend services, or improving cloud data infrastructure, my focus is on maintainable, efficient solutions that are easy for teams to build upon.


My work combines software engineering principles with modern data engineering practices to transform complex business requirements into reliable data and backend systems. I value clean architecture, automation, performance optimization, and thoughtful developer experience as much as writing maintainable code.

99.9%

Reliability First

Every system is designed with stability, observability, and maintainability as the primary goals.

Automation

Engineering Efficiency

Replacing repetitive manual work with scalable, repeatable engineering solutions.

Cloud

Modern Infrastructure

Building cloud-native applications using proven engineering practices and production workflows.

Experience

Professional experience delivering real-world data and backend solutions.

Jul 2024 — Present

Independent Data Engineer & Python Backend Developer

Freelance • Remote

Worked independently on Data Engineering, backend development, and cloud automation projects while continuing professional development during a medical recovery period. Focused on building production-ready solutions, strengthening cloud expertise, and staying current with modern engineering practices.

  • Designed and developed ETL pipelines, backend APIs, and automation workflows using Python, SQL, dbt, FastAPI, and Docker.
  • Built proof-of-concept data engineering solutions covering data modeling, workflow orchestration, CI/CD, and cloud-native deployment.
  • Expanded expertise in dbt, Analytics Engineering, GitHub Actions, Google Cloud Platform, and production-grade software engineering through continuous learning and hands-on implementation.
  • Implemented automated testing, containerization, and deployment workflows to improve maintainability and deployment reliability across personal and freelance projects.
  • Continued developing reusable engineering solutions and portfolio projects while preparing for full-time Data Engineering opportunities.
Nov 2023 – Jul 2024

Data Engineer

Beiersdorf AG – Hamburg, Germany

Built production-grade cloud data platforms powering large-scale retail analytics across 15 DACH markets. Specialized in distributed data processing, workflow orchestration, performance optimization, and data governance to improve reliability, scalability, and business reporting.

  • Engineered PySpark and Apache Airflow ETL/ELT pipelines processing 20–30 GB of retail data weekly, reducing reporting delivery time by 40% across 15 DACH markets through workflow automation and optimized data processing.
  • Optimized BigQuery analytical workloads using partitioning, CTEs and window functions, reducing average query execution time by 35% for more than 50 business stakeholders.
  • Designed reliable Airflow orchestration workflows with monitoring and failure recovery, increasing pipeline stability and accelerating incident resolution during upstream data changes.
  • Implemented data governance practices including data lineage, access control and data contracts, strengthening compliance, platform reliability and audit readiness.
  • Automated Power BI reporting pipelines, eliminating more than 8 hours of manual reporting effort every week while improving dashboard freshness and operational efficiency.
Jul 2022 – Feb 2023

Backend & Data Engineer

Edithtech Infrastructure Pvt. Ltd. – Indore, India

Developed scalable backend services and data-driven applications with a strong emphasis on REST APIs, database optimization, cloud deployment, and production reliability.

  • Optimized MySQL database queries supporting 10,000+ daily requests, reducing P95 response latency by 25% through indexing, execution-plan optimization and query restructuring.
  • Engineered production-ready backend microservices and REST APIs delivering 99.5% service availability for an edtech platform serving over 50,000 users.
  • Containerized applications with Docker and automated deployments using GitHub Actions CI/CD, shortening software release cycles by 30% while improving deployment reliability.
  • Collaborated across backend engineering and data integration initiatives, enabling scalable application workflows and reliable movement of operational data between systems.
Oct 2020 – Nov 2021

Software Engineer

Engineer Master Solutions Pvt. Ltd. – Indore, India

Contributed to software product development with a focus on modular engineering, rapid delivery and analytics-driven product improvements.

  • Delivered modular application components that reduced MVP delivery timelines by 30%, improving development velocity and maintainability.
  • Supported analytics-informed product decisions through structured reporting workflows, contributing to a 45% increase in user engagement across three product releases.
  • Worked closely with engineering teams to improve software quality, maintainability and release consistency through collaborative development practices.
Selected Work

Projects that solve practical data and backend engineering problems.

Data Engineering

Automated ETL/ELT Platform

Designed an end-to-end automated ETL/ELT platform using Apache Airflow, Python, and PostgreSQL for daily business reporting.

Python Airflow SQL Docker Kubernetes
80% Reduction in manual processing
5× Faster execution
Backend

Cloud Inventory & Operations API

Built scalable REST APIs with authentication, role-based access and cloud deployment for inventory management.

FastAPI PostgreSQL AWS Docker Kubernetes
99.9% API Availability
45% Lower Response Time
Expertise

Technologies I use regularly.

Languages

Python SQL Java JavaScript

Data Engineering

Databricks PySpark Apache Airflow Kafka ETL ELT

Backend

FastAPI REST APIs Microservices Authentication

Cloud

AWS Azure Google Cloud Platform Azure Data Factory Serverless

DevOps

Docker Git GitHub Actions Kubernetes CI/CD

Databases

PostgreSQL MySQL BigQuery MongoDB
Education

Continuous learning forms the foundation of every project.

Education

2023 – 2024

Data Science Coursework

Hamburg University of Technology (TU Hamburg), Germany

Advanced coursework in Machine Learning, Statistical Modeling, Feature Engineering, Regression, Clustering, and Data Analytics.

2018 – 2022

Bachelor of Technology (B.Tech.) in Computer Science

Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV) – India

CGPA: 8.37/10
Relevant Coursework: Database Systems, Distributed Computing, Data Structures & Algorithms, Operating Systems, Software Engineering.

Professional Certifications

AWS • Microsoft Azure • Google Cloud Platform • Databricks • Azure Data Factory • Data Engineering

Ongoing Learning
Contact

Let’s build reliable data and backend systems together.

I’m always interested in discussing Data Engineering, Backend Systems, Cloud Technologies, and Modern Data Platforms. Open to full-time opportunities across India, Europe, and remote-first teams.

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