Jeetendra Gour
Verified Expert in Engineering
Data Engineer and Developer
Pune, Maharashtra, India
Toptal member since June 2, 2022
Jeetendra is a seasoned data architect with 10+ years of expertise in designing and deploying large-scale data solutions. Proficient in Azure services such as Databricks, Synapse, Data Factory, ADLS, and Power BI, he excels in ETL/ELT pipelines, cloud migrations, and DevOps practices. With strong SQL programming and Python/PySpark skills for advanced analysis, he has a proven track record of leading teams, collaborating with stakeholders, and delivering scalable, impactful data strategies.
Portfolio
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 (ADF) - 5 years
- Azure Databricks - 2 years
- Azure Synapse - 1 year
Availability
Preferred Environment
Microsoft Power BI, SQL, Azure Data Factory (ADF), Azure Synapse, Data Modeling, Data Visualization, Azure Databricks, Data Analytics, Data Architecture, Python
The most amazing...
...thing I've designed and built is a risk and margin data tenant in Azure for a large financial organization.
Work Experience
Senior Data Engineer
Seera Investment Bank
- Implemented cloud data architecture to help risk managers get quick access to the data for their portfolio risk assessment in the earliest and most timely manner.
- Built ETL and ELT pipelines within Azure Data Factory (ADF) and Databricks to extract and transform data from various sources within the organization. Defined the extraction pattern for each type of source system. Built the bronze, silver, and gold ingestion.
- Identified the need for a data model and implemented the same for more efficient ingestion and serving of the data. Designed the data lineage and data quality framework.
- Developed the Power BI reports for risk managers to support their portfolio analysis with historical data. This has helped them to make informed decisions on identifying the risk.
- Performed POCs to prove the usage of specific technology stacks such as Synapse, Databricks, ADLS, ADF, and SQL.
- Automated deployment processes by building CI/CD pipelines.
Data Developer and Engineer
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.
Senior Data Engineer
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.
Data Engineer
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.
Experience
Agent Performance Analysis
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
Job Performance Dashboard for Agent and Field Engineers
I built a datamart on Hadoop, which we used for our reporting layer, and developed the Power BI dashboards on top of it.
Education
Bachelor's Degree in Electronics and Communication Engineering
Oriental Institute of Science & Technology - Bhopal, India
Certifications
Microsoft Certified: Power BI Data Analyst Associate
Microsoft
Microsoft Certified: Azure Data Engineer Associate
Microsoft
Skills
Tools
Microsoft Power BI, Excel 2016, Synapse, GitLab CI/CD
Languages
SQL, Python
Paradigms
ETL, Agile, Azure DevOps
Platforms
Azure, Azure Synapse, Apache Kafka, Oracle
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 (ADF), 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, ELT
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