HARSH JOSHI / SENIOR DATA ENGINEER

Data that flows.
Insights that
make a difference.

Data Engineering · Data Platforms · Business Intelligence

I turn complex enterprise data into reliable pipelines and clear insights. Currently at Cummins, connecting data engineering with the realities of manufacturing operations.

View my resume Discover my work
THE PERSON BEHIND THE PIPELINES
Harsh Joshi at his University of Missouri graduation
Harsh JoshiSenior Data Engineer · Cummins
From source to story.Engineering + analytics + business context
LinkedInharshjoshi888GitHubharshj888My resumeExperience at a glance
My everyday toolkit
PythonSQLAzure Data FactoryDatabricksPySparkPower BI
Data engineering, visualized

A journey from source to insight.

Illustrative workflow
01

Connect

Oracle ERP · SQL · APIs

02

Ingest

Azure Data Factory

03

Transform

Databricks · PySpark

04

Validate

Quality · monitoring

05

Understand

Power BI · reporting

Data qualityDocumentationBusiness collaboration
01 / Selected work

Where engineering meets impact.

Highlights from my work across enterprise integration, healthcare data, and operational analytics.

01 — INTEGRATION

Cummins · Manufacturing

Connecting enterprise data.

Built and optimized ETL/ELT pipelines connecting Oracle ERP, SQL Server, APIs, and files to centralized analytics layers.

Supported trusted analytics through validation, logging, monitoring, and documented data flows.

Azure Data FactoryPythonSQL
02 — DATA PLATFORMS

Children’s Mercy · Healthcare

Building reliable data workflows.

Optimized ETL with Spark and Azure Databricks, orchestrated workflows in Data Factory, and managed batch and streaming data with Delta Live Tables.

Validated data integrity with SQL tests and prepared data for reporting and analysis.

DatabricksSparkDelta Live Tables
03 — BUSINESS INTELLIGENCE

Cummins · Operations

Making operations visible.

Built and enhanced Power BI dashboards for downtime, production, and operations, partnering with manufacturing, maintenance, IT, and analytics teams.

Delivered operational insights for engineering and business leaders, with documentation to support reuse.

Power BIData qualityStakeholder collaboration
02 / Leadership & ownership

Beyond the pipeline.
Through to delivery.

Hands-on engineering, team collaboration, and a focus on carrying work through to a useful, maintainable outcome.

Lead & mentor

Led teams within Agile methodologies and mentored junior engineers at Affimintus Technologies, supporting coding standards and alignment with business needs.

Connect teams

Partner with manufacturing, maintenance, IT, and analytics teams at Cummins to translate operational needs into data solutions.

Build for continuity

Document data flows, datasets, and dashboards, with quality checks and monitoring that support reuse, onboarding, and ongoing reliability.

My approach to end-to-end delivery

From requirements to ongoing improvement
  1. 01

    Discover

    Clarify the business problem, stakeholders, and success criteria.

  2. 02

    Design

    Map the data flow, dependencies, and solution approach.

  3. 03

    Build

    Coordinate delivery and develop maintainable data workflows.

  4. 04

    Validate

    Check data quality, test behavior, and review with stakeholders.

  5. 05

    Launch

    Prepare deployment, documentation, and a clear handover.

  6. 06

    Improve

    Monitor reliability, gather feedback, and refine the solution.

03 / Experience

Built across
industries.

From manufacturing and healthcare to research and technology, I bring engineering discipline and a practical understanding of business needs.

View full resume

Cummins

Feb 2025 – Present

Senior Data Engineer

Chicago, IL

  • Design and optimize enterprise ETL/ELT pipelines using Azure Data Factory, Azure Databricks, Delta Live Tables, Python, PySpark, and SQL.
  • Integrate Oracle ERP, SQL Server, APIs, and files; tune pipeline performance and apply data quality controls.
  • Develop Power BI reporting for manufacturing operations and collaborate on architecture, documentation, and data dictionaries.

Children’s Mercy

May 2023 – Nov 2024

Data Engineer

Kansas City, Missouri

  • Optimized ETL processes with Apache Spark and Azure Databricks, including batch and streaming workflows with Delta Live Tables.
  • Developed Python scripts, orchestrated Azure Data Factory workflows, and used SQL tests to validate data integrity.
  • Supported development pipelines through DevOps practices and built Power BI visualizations for business insights.

Graduate Research Assistant

June 2022 – May 2023

Data Engineer

Columbia, Missouri

  • Developed machine learning components for model evaluation and execution, extracted entities from structured and unstructured data, and built Docker images for deployment.
More about this work

Used knowledge graphs to develop predictive models for task assignments and shared analysis with researchers through reports and cross-disciplinary collaboration.

The Housing Collective

June 2022 – Aug 2023

Data Analyst Intern

United States

  • Analyzed homelessness-related data with Crystal Reports, built Power BI dashboards, and translated findings into presentations and actionable insights.
More about this work

Improved data management through cleaning and filtering, developed data flow processes, and applied statistical analysis to identify trends.

Affimintus Technologies

Jan 2020 – July 2021

Data Engineer

Indore, MP, India

  • Designed ETL/ELT processes and ingestion pipelines, automated data processing with Python, and mentored junior team members within Agile delivery teams.
More about this work

Used Pandas and Beautiful Soup for automation, incorporated predictive analytics into data workflows, and presented management reports to executive stakeholders.

6DegreesIT

May 2018 – Dec 2019

Data Engineer

Indore, MP, India

  • Built data infrastructure, monitoring, and reproducible pipelines; developed logical and physical data models and PL/SQL for data conversion.
More about this work

Collaborated with development and QA teams on data quality, reporting, and testing across the software development life cycle.

04 / Technical expertise

The tools behind the work.

A connected toolkit for moving, modeling, validating, and communicating data.

Build & transform

Data engineering

  • Python · SQL · PySpark
  • Apache Spark
  • ETL / ELT pipelines
  • Batch & streaming processing
  • Data modeling & warehousing
Integrate & scale

Cloud & platforms

  • Azure Data Factory
  • Azure Databricks
  • Delta Live Tables
  • AWS S3 · Glue · Lambda
  • EC2 · Redshift
Analyze & communicate

Business intelligence

  • Power BI
  • Operational reporting
  • Data visualization
  • SQL Server · Oracle ERP
  • PostgreSQL · MongoDB
Deliver & maintain

Engineering practices

  • Data quality & governance
  • Logging & monitoring
  • Git · CI/CD · DevOps
  • Agile · Scrum
  • Documentation & collaboration
05 / Education

A foundation in data & computing.

University of Missouri

Master’s in Data Science and Data Analytics with High Performance Computing

Aug 2021 – May 2023

Rajiv Gandhi Proudyogiki Vishwavidyalaya

Bachelor of Engineering in Computer Science

July 2014 – June 2018
06 / Get in touch

Let’s talk data.

Have a Senior Data Engineering, Data Platform, or Business Intelligence opportunity in mind? I’d welcome a conversation.

LinkedInharshjoshi888GitHubharshj888My resumeExperience at a glance