Hitesh  ·  Data Engineer  ·  2.5+ yrs

Junior
India2.5+ years experienceremote
Available within 48 hrs

About Hitesh

Hitesh is a dedicated Data Engineer with nearly 3 years of experience in designing and implementing end-to-end data solutions. He has demonstrated expertise in both Azure and GCP cloud platforms, focusing on ETL development, data modeling, and visualization. Hitesh is committed to delivering high-quality data solutions that provide measurable value to clients.

Core expertise

AD
Azure Data Factory
cloud
9/10
Databricks
cloud
9/10
Python
language
9/10
SQ
SQL
database
9/10
GCP
cloud
8/10
Jenkins
devops
8/10
Git
devops
8/10
AA
Apache Airflow
tooling
8/10
Pandas
language
8/10
DB
dbt
tooling
8/10

Additional skills(26)

DatabricksJenkinsGitPythonPysparkPandasHadoopASP.NETAzure Data FactorySQL

Why hire Hitesh?

Production deploy authorityAgile development experienceMulti-cloud expertise

Designed and implemented end-to-end data solutions for Business Intelligence and Data Warehousing.

Managed deployments through CI/CD pipelines using Jenkins and Git.

Performed data migration to GCP Cloud Storage using Airbyte.

Successfully migrated data to GCP Cloud Storage, enhancing data accessibility.

Delivered high-quality solutions that exceeded expectations and provided measurable value to clients.

Played a crucial role in performing complex data transformations using Azure Databricks.

Project highlights(5)

Supply Chain Capacity Management – Data Engineer

Overview: Developed a capacity inventory management system for production centers and warehouses. Responsibilities: Utilized Azure Data Factory for simple transformations and data flows, creating pipelines to store EDL data in ADLS. Transformed Excel file data using Databricks and loaded it into SQL tables. Implemented Agile methodologies with 15-day scrum sprints, managing deployments through CI/CD tools like Jenkins and Git.

Azure Data FactoryDatabricksSQLJenkinsGit

Key outcomes:

  • Created relational finished tables for the Polaris application.

  • Ensured fast performance for specific product visualizations.

Social Media Content Moderation – Content Moderator

Overview: Involved in validating social media content. Responsibilities: Ensured compliance and quality of social media content.

Key outcomes:

  • Validated social media content.

Project 3 – Data Engineer

  • Designed and implemented end-to-end data solutions including Business Intelligence, Data Warehousing, Data Analysis, Schema Design, Data Visualization, and ETL Development using Azure Data Factory and Azure Databricks.
  • Leveraged a robust technology stack that included Python, Pyspark, Pandas, and SQL.
  • Managed CI/CD processes with Jenkins and Git for continuous delivery.
  • Collaborated with cross-functional teams to deliver timely, accurate, and relevant data insights to business users.
  • Committed to delivering high-quality solutions that exceeded expectations and provided measurable value to clients.
Azure Data FactoryDatabricksPythonPysparkPandasSQLCI/CDJenkinsGitBusiness IntelligenceData WarehouseData AnalysisSchema DesignVisualizationETL

Key outcomes:

  • Designed and implemented end-to-end data solutions.

  • Delivered high-quality solutions that exceeded expectations and provided measurable value.

  • Collaborated effectively to deliver timely, accurate, and relevant data insights.

Polaris, Capacity Inventory Management – Data Engineer

  • Developed a capacity inventory management system for production centers and warehouses, forecasting demand and visualizing it on Tableau dashboards.
  • Focused on creating relational finished tables by extracting raw data from various sources such as Excel files, enterprise-level Data Layer (EDL), and Data Lake.
  • Utilized Azure Data Factory for simple transformations and data flows, creating pipelines to store EDL data in ADLS.
  • Transformed Excel file data using Databricks and loaded it into SQL tables.
  • Implemented Agile methodologies with 15-day scrum sprints, managing deployments through CI/CD tools like Jenkins and Git.
  • Employed Sonar Cube for static analysis and accessed artifacts via JFrog Artifactory to enhance testing and performance.
TableauAzure Data FactoryADLSDatabricksSQLMicrosoft ExcelAgileScrumCI/CDJenkinsGitSonar CubeJFrog ArtifactoryJDBC

Key outcomes:

  • Created relational finished tables for the Polaris application.

  • Ensured fast performance for specific product visualizations by adding cleansing and manipulation code.

  • Managed deployments through a CI/CD pipeline connected to Git repository.

Project 5 – Data Engineering Intern

  • Gained practical experience in industry-standard data tools.
  • Designed and implemented ETL pipelines for large datasets.
  • Utilized tools such as Hadoop, Shell Scripting, SQL, Python, ASP.NET, and Microsoft Excel.
  • Focused on ETL pipeline development using Python and SQL.
HadoopShell ScriptingSQLPythonASP.NETMicrosoft ExcelETL

Key outcomes:

  • Gained practical experience with industry-standard data tools.

  • Designed and implemented ETL pipelines for large datasets.

2.5+ years of industry experience

Logistics & Supply Chain3 projects
  • •Supply Chain Capacity Management— Data EngineerAzure Data Factory · Databricks · SQL · Jenkins +1
  • •Project— Data EngineerAzure Data Factory · Databricks · Python · Pyspark +11
  • •Polaris, Capacity Inventory Management— Data EngineerTableau · Azure Data Factory · ADLS · Databricks +10
Manufacturing & Industrial3 projects
  • •Supply Chain Capacity Management— Data EngineerAzure Data Factory · Databricks · SQL · Jenkins +1
  • •Project— Data EngineerAzure Data Factory · Databricks · Python · Pyspark +11
  • •Polaris, Capacity Inventory Management— Data EngineerTableau · Azure Data Factory · ADLS · Databricks +10

Ready to work with Hitesh?

Onboard within 48 hours. No long hiring cycles, no recruiter middleman.

At a Glance

LocationIndia
Experience2.5+ years
Work moderemote
Direct hirePossible
Start within48 hours
From$1,293/ month

Single contract. Billed in USD.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman

Top Skills

Azure Data Factory
9/10
Databricks
9/10
Python
9/10
SQL
9/10
GCP
8/10
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Owns production deploys
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Hitesh

Data Engineer GCP