Jeevan Gaire
I build data pipelines that scale, transform raw chaos into clean insights, and help businesses make decisions that actually matter.
Jeevan Gaire
Data Engineer · 1yr exp
50TB+
Data Processed
99.8%
Pipeline Uptime
Ingest
Transform
Load
Serve
Turning raw data into business gold
Hey! I'm a Data Engineer passionate about building robust, scalable data infrastructure. Over the past year I've worked on ETL pipelines, data warehousing, and real-time streaming systems that power analytics at scale.
My stack leans heavy on the modern data stack — dbt, Airflow, Spark — and I love the challenge of squeezing milliseconds out of a slow query or redesigning a broken pipeline from the ground up.
When I'm not writing PySpark jobs, I'm writing about data engineering on my blog or contributing to open-source projects.
Current Company
Data Engineer · 2025 – present
B.Tech Computer Science
MMDU · 2021-2025
Based in Jaipur, India
Available for remote roles
My Tech Stack
Big Data & Processing
Data Lakehouse & Architecture
Orchestration & ETL
Azure Cloud Services
Streaming Technologies
Data Engineering Practices
Featured Projects
Work Experience
Data Engineer
Celebal Technologies · Full-time · Jaipur
- ▸Providing end-to-end data engineering and cloud solutions for one of the world’s leading banking clients using Azure-based technologies.
- ▸Developing and maintaining scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and PySpark for enterprise-level data processing.
- ▸Automating existing ADF workflows and optimizing data pipelines to improve execution efficiency, reduce failures, and enhance overall performance.
- ▸Designing and implementing robust data transformation and ingestion solutions using Databricks Autoloader, PySpark, and SQL-based processing.
- ▸Collaborating with cross-functional analytics and business teams to deliver reliable, scalable, and production-ready data solutions.
- ▸Working on enhancement, monitoring, debugging, and optimization of existing cloud data infrastructure and reporting systems.
Junior Associate Data Engineer
Celebal Technologies · Apprenticeship · On-Site
- ▸Built hands-on expertise in modern data engineering technologies including SQL, PySpark, Databricks, Python, Azure Data Factory (ADF), Unity Catalog, Delta Live Tables (DLT), Auto Loader, Spark Streaming, Structured Streaming, and Data Modeling.
- ▸Contributed to an enterprise migration project focused on converting existing Jupyter-based workflows into scalable PySpark notebooks on Databricks.
- ▸Modified and optimized notebook logic for distributed data processing using PySpark and Spark transformations.
- ▸Validated migrated notebooks by testing them against sample datasets to ensure data accuracy, transformation correctness, and workflow reliability.
- ▸Worked with cloud-based data pipelines and learned best practices for scalable ETL architecture and data lake processing.
- ▸Collaborated with senior engineers to understand real-world data engineering workflows, debugging strategies, and production-level data processing practices.
Latest Articles
Get In Touch
Let's build something great together
I'm currently open to full-time Data Engineer roles and interesting freelance projects. If you have a pipeline to build or a data problem to solve, let's talk!