Nachiket Rajput
Pune,
Summary
Experienced data engineer with a profound knowledge in both the finance and agrochemical industries, with 3.5+ years of proven expertise. Proficient in designing, developing, and maintaining robust data pipelines and infrastructure to support data-driven decision-making processes. Skilled in data modeling, ETL processes, and optimizing database performance. Involved in various projects that gives hands-on with tech-stack includes Spark, Databricks, Data Factory, Synapse, Airflow, SQL DB, Cosmos DB, Logic apps, Power BI, Qlik, etc. Passionate about leveraging technology to drive innovation and efficiency in diverse business environments.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Data Engineer
UPL Limited
Mumbai
09.2022 - Current
- Created development setup in Sandbox environment with Azure resources includes Azure Databricks, Data Factory, Airflow, SQL DB, Data Lake, SHIR VM setup, etc.
- Designed and developed ETL framework for Manufacturing and Commercial use cases.
- Developed an efficient and generic data pipelines with Data lake architecture.
- Developed and implemented data models, database designs, data access and table maintenance codes.
- Integrated multiple sources of structured and unstructured datasets into a single platform.
- Implemented data sharing strategies with the Databricks delta sharing capability.
- Introduced Managed Airflow as an orchestration tool to set up a dependency between extraction pipelines, databricks transformation codes, alerting using logic apps and dashboard refresh.
Data Engineer
Bajaj Finserv
Pune
10.2020 - 08.2022
- Developed data pipelines to create an application layer in Cosmos DB using structured data available on the data warehouse.
- Designed data pipeline architecture for master data load in Cosmos DB with a logging mechanism.
- Managed end-to-end operations of ETL data pipelines, maintaining uptime of 98%.
- Automated data pipelines for data loads in Data Explorer (ADX) from different sources such as Salesforce, Kafka, ODS, etc.
- Developed data pipelines for Mobile app notification related use cases as EMI Reminder, AMC charges, etc.
- Data delivery in application for personalization project having use cases such as App-in-App, B2B banners, B2B Segmentation, etc.
Research Intern
IIT Bombay
Mumbai,
04.2019 - 06.2019
- Analyzed cancer image classification dataset by applying regularization techniques over transfer learning.
- Made analysis on company profile image dataset using one-shot learning of Siamese network.
- Analyzed experimental data and interpreted results to write reports and summaries of findings.
- Performed statistical analysis on data and results, identifying and utilizing appropriate techniques.
Education
Bachelor of Technology - Information Technology
College Of Engineering, Pune
Pune, India05-2020
Skills
- Data Modeling
- Data Warehousing
- Scripting Languages
- NoSQL Databases
- Data Migration
- Database Design
- Big Data Technologies
- Relational Databases
Core Competencies
- Azure Databricks
- Azure Data Factory
- Azure Synapse
- Airflow
- Azure Data Lake
- Logic Apps
- Azure Data Explorer
- Azure Cosmos DB
- SQL Server
- Spark with Python, Scala
- NoSQL
- SSIS
Certification
- Data Engineering with Databricks
- Version Control with Git
- AWS fundamentals : Going Cloud Native
- Web Application technologies and Django
Accomplishments
- Recognized with outstanding feedback in annual performance appraisal.
- Top ranker in 12th board.
- Overall college topper in 11th Std.
- Got scholarship in 7th and NTSE in 8th.
Technical Skills
- C, C++, Python
- Data Structures and Algorithms
- Cosmos DB
- Azure Data Factory
- Azure Databricks
- Azure Data Lake
- Azure Data Explorer
- Power BI Desktop
- SQL Server
Timeline
Data Engineer
UPL Limited
09.2022 - Current
Data Engineer
Bajaj Finserv
10.2020 - 08.2022
Research Intern
IIT Bombay
04.2019 - 06.2019
Bachelor of Technology - Information Technology
College Of Engineering, Pune
- Data Engineering with Databricks
- Version Control with Git
- AWS fundamentals : Going Cloud Native
- Web Application technologies and Django
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