
Pulkit Jain
Verified Expert in Engineering
Azure Data Engineer and BI Developer
Pune, Maharashtra, India
Toptal member since February 15, 2021
Pulkit is a Microsoft-certified Azure data engineer and Power BI developer with more than six years of experience in data engineering and business intelligence. He has designed and implemented end-to-end data solutions in Azure. Pulkit is an expert in the Azure suite of products, Azure Data Factory, Synapse, Azure Data Lake, Databricks, SQL servers, SSIS, and Power BI.
Portfolio
Experience
- Azure Data Factory (ADF) - 7 years
- Data Engineering - 6 years
- SQL - 4 years
- Azure - 4 years
- Cloud - 4 years
- Business Intelligence (BI) - 3 years
- Microsoft Power BI - 3 years
- Azure Data Lake - 3 years
Availability
Preferred Environment
Azure, SQL, Microsoft Power BI, Azure Data Factory (ADF), Business Intelligence (BI), Data Engineering, Azure Data Lake, Azure Synapse, Data Warehousing, ETL
The most amazing...
...thing I've created was an Azure Data Factory pipeline that decreased the pipeline runtime from a couple of days to less than two hours.
Work Experience
Azure Data Engineer
KCS iT Project Management
- Built 200+ Azure Data Factory pipelines that could extract the data from many diverse sources, transform and load it to different sink destinations, and even refresh the Power BI dashboards upon completion with automated scheduled triggers.
- Archived more than 50TB of data from multiple applications based on complex business rules to cold storage.
- Created complex SQL procedures and queries to transform, clean, and process huge data as per the business logic.
- Composed advance reports and real-time dashboards using Microsoft Power BI, Dax, and Power Query.
Data Warehouse and BI Developer
Amdocs
- Created complex data models inside Power BI with different cardinalities; and became deeply acquainted with cardinalities and cross-filtering features of Microsoft Power BI.
- Used SQL Profiler to track down the SQL query that Power BI sent to Microsoft SQL Server and optimized such queries.
- Created data audits and data validation to check data integrity.
- Implemented transformation logic and cleansing logic in Azure Databricks using Spark SQL in SQL context only.
- Created connections inside Azure Databricks to connect with Azure Blob storage using a secret scope and secret keys.
Azure Data Engineer
Microsoft (via TCS)
- Migrated legacy data workloads for more than 50+ complex modules from on-premise integration packages to Azure Data Factory, removed their dependencies from on-premise infrastructure, and migrated every intricacy to Azure PaaS.
- Coordinated with data scientist teams to prepare the data for data science experiments and orchestrated these experiments in Azure Data Factory pipelines in the form of ML Studio Experiment and Databricks notebook.
- Optimized the degree of parallelism and computing power for the best results in Azure Data Factory pipelines and used complex for-loops to attain the shortest runtime possible.
Azure Data Engineer
Tata Consultancy Services
- Intensively worked in Azure Data Factory, Azure, Blob Storage, Azure SQL Database, Azure Synapse, and Azure Databricks.
- Used Azure DevOps for versioning and repositories in Azure Data factory. Implemented CI/CD deployment using Azure Resource Management template for Azure Data Factory multi-environment deployment.
- Extracted data from SAS cube using Azure Data Factory. Implemented Azure SSIS integration runtime and Azure SQL database catalog to store SIIS packages.
- Created and configured integration runtimes in different environments with optimized linked services and datasets.
Experience
Finance Business Intelligence
Azure Migration
AT&T Power BI Migration
Education
Bachelor's Degree in Information Technology
College of Technology, Pantnagar University - Uttarakhand, India
Associate Degree in Mathematics and Computer Science
Central Board of Secondary Education - Uttarakhand, India
Certifications
DP-200: Implementing an Azure Data Solution
Microsoft
Exam DA-100: Analyzing Data with Microsoft Power BI
Microsoft
Exam AZ-900: Microsoft Azure Fundamentals
Microsoft
Skills
Tools
Microsoft Power BI, Synapse, Power Query
Languages
SQL
Paradigms
Business Intelligence (BI), ETL, Azure DevOps
Platforms
Azure, Azure SQL Data Warehouse, Dedicated SQL Pool (formerly SQL DW), Databricks, Azure Synapse
Storage
Azure SQL, Databases, Azure Cloud Services, SQL Server Integration Services (SSIS), Azure Blobs, SQL Server 2014, Azure SQL Databases, Microsoft SQL Server
Other
Azure Data Factory (ADF), Data Engineering, Data Warehousing, Azure Databricks, Azure Data Lake, Data Architecture, Data Warehouse Design, Cloud, Data Analytics, Computer, Computer Science, DAX, Azure CLI, Data Cleansing, Blob Storage
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