Jeetendra Gour, Developer in Pune, Maharashtra, India
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Jeetendra Gour

Verified Expert  in Engineering

Bio

Jeetendra is an honest and efficient data engineer with 12 years of experience designing and implementing analytical platforms. He is passionate about his work and skilled in understanding and predicting business needs, prioritizing tasks according to business requirements, and helping plan and execute high-value projects. Jeetendra also has extensive expertise in building and setting up the direction of Agile development teams.

Portfolio

1Box Hospitality LLC
Microsoft Power BI, Excel 2016, Data Reporting, Data Analytics, ETL
Cognizant
Apache Hive, SQL, Hadoop, Big Data, Azure Data Factory, Azure SQL Databases...
Infosys
SQL, MSBI, Agile, SQL Server Integration Services (SSIS)...

Experience

  • Data Engineering - 10 years
  • Azure SQL Databases - 10 years
  • Data Visualization - 10 years
  • SQL - 9 years
  • Microsoft Power BI - 6 years
  • Azure Data Factory - 5 years
  • Azure Databricks - 2 years
  • Azure Synapse - 1 year

Availability

Part-time

Preferred Environment

Microsoft Power BI, SQL, MSBI, Azure Data Factory, Azure SQL Databases, Azure Synapse, Data Modeling, Apache Hive, Big Data, Data Visualization

The most amazing...

...thing I've done in 10+ years of experience is developing and deploying large-scale data-centric solutions using the Microsoft Cloud platform.

Work Experience

Data Developer and Engineer

2022 - 2023
1Box Hospitality LLC
  • Organized client data files, delivered the Power BI reports, automated the data refresh into the report, identified data-related issues, and helped the client fix them.
  • Fixed the requirements and acknowledged the challenges.
  • Identified data-related issues and helped the client to fix them.
Technologies: Microsoft Power BI, Excel 2016, Data Reporting, Data Analytics, ETL

Senior Data Engineer

2014 - 2021
Cognizant
  • Delivered an industry-level data mart and reporting solution, changing the client's understanding of the existing processes.
  • Produced numerous reports and dashboards for the client, which has helped effective business decisions and cost savings.
  • Used Azure DevOps for sprint planning and tracking and GitHub and Azure DevOps Server (formerly TFS) for code repository and version control.
  • Earned the client's trust due to the quality of the work our team produced in the initial few months so that our team became the go-to people for the whole business unit for any data and reporting requirements.
Technologies: Apache Hive, SQL, Hadoop, Big Data, Azure Data Factory, Azure SQL Databases, Azure Data Lake, Microsoft Power BI, MSBI, Python, Azure Databricks, Architecture, Databases, Azure, ETL, MySQL, MySQL DBA, Apache Kafka

Data Engineer

2011 - 2014
Infosys
  • Held a very high visibility role as a data engineer when joined as a freshman.
  • Delivered high-quality data engineering solutions and developed business intelligence (BI) reports highly valued by senior stakeholders.
  • Worked in an Agile environment and, being the only data engineer in the team, handled end-to-end project delivery.
  • Created an automated extract, transform, and load (ETL) solution for the data extraction of a frequently used data set, helping the business application work quicker and more efficiently.
  • Collaborated with many senior stakeholders with extensive technical and business experience, which gave me the chance to learn a lot during my time on the project.
Technologies: SQL, MSBI, Agile, SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS), ETL

Agent Performance Analysis

The client was struggling to get insight into the agents' performance and behavior—how they were booking customers' appointments—and how to track appointments.

Many appointments were being canceled, rescheduled, or changed because the agent wasn't booking the job correctly.

The initial task was to identify the right data source as every business unit used different methods.

Our team had a session with every team working in this area and identified the business and data sources; we built a data mart solution for our reporting by creating the ETL pipelines in Hadoop using Hive.

I designed and developed the reporting layer and handled fact and dimension tables with types 1 and 2. Our final solution was to create the Power BI reports for the business to consume.

Data Warehouse and Business Intelligence Solution

While working for one of the largest US-based energy companies, I was involved in a project to develop a SQL Server data warehouse and business intelligence (BI) solution. As part of a larger team, I delivered ETL solutions and BI reports and supported and tuned existing deliveries.

Job Performance Dashboard for Agent and Field Engineers

This project's business requirement was to create Power BI dashboards for the stakeholders to understand the agent performance, field engineer performance, and the process gaps leading to high cancellation and rescheduling of jobs.

I built a datamart on Hadoop, which we used for our reporting layer, and developed the Power BI dashboards on top of it.
2007 - 2011

Bachelor's Degree in Electronics and Communication Engineering

Oriental Institute of Science & Technology - Bhopal, India

JULY 2021 - PRESENT

Microsoft Certified: Power BI Data Analyst Associate

Microsoft

DECEMBER 2020 - PRESENT

Microsoft Certified: Azure Data Engineer Associate

Microsoft

Tools

Microsoft Power BI, Excel 2016

Languages

SQL, Python

Paradigms

ETL, Agile

Platforms

Azure, Azure Synapse, Apache Kafka

Storage

Database Modeling, SQL Server 2017, Databases, Azure SQL Databases, Azure Storage, MySQL, Apache Hive, SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS)

Frameworks

Hadoop

Other

Azure Data Factory, Data Visualization, Azure Databricks, Data Analysis, Data Analytics, Data Warehousing, Data Engineering, DAX, Architecture, Data Modeling, Azure Data Lake, Data Architecture, MySQL DBA, MSBI, Big Data, Data Reporting, SSRS Reports, Google BigQuery

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