Data Engineer -Python, SQL, Azure, Databricks, Snowflake, dbt, Airflow

Divya Manoj

Location: Denver, CO (Open to Relocate)

Email: ***********@*****.*** 2

Phone: 812-***-****

Visa: H1B with approval valid through September 2028 (no lottery required) Education

Indiana University Bloomington

MS in Data Science

GPA: 3.75/4.0

Coursework: Data Mining, Exploratory Data Analysis, Databases, Statistics, Machine Learning University of Mumbai

BE in Computer Engineering

GPA: 8.41/10.0

Coursework: Object Oriented Programming, Natural Language Processing, Big Data, Algorithms Summary

Data Engineer & Data Scientist with 4+ years of experience building scalable data pipelines, predictive models, and analytics solutions for e-commerce, aviation, and healthcare. Skilled in SQL, Python, dbt, Airflow, Snowflake, Databricks, and Azure to improve data reliability, optimize pricing, and drive business decisions. Experienced in B2B and B2C analytics, demand forecasting, and revenue optimization, delivering actionable insights that enhance profit margins and operational efficiency

Experience

Data Engineer(Contract)

Hawaiian Airlines

Tempe, AZ

Mar 2025 – Oct 2025

Elevated analytics reliability by refining the flight data pipeline, filtering out 15% invalid itineraries and strengthening marketing and ops decision-making.

Modernized the Meal Order Reporting system by replacing a legacy stored procedure with modular dbt models orchestrated in Airflow, improving system transparency and maintainability.

Built and migrated 140+ dbt models from Snowflake to Databricks, converting SQL/configs and automating runs with Databricks Workflows for optimized XML transformations and deployment. Data Engineer(Contract)

Consumer Cellular

Scottsdale, AZ

Aug 2024 – Mar 2025

Resolved 6,000+ financial data discrepancies in roll-forward logic, in SQL Server Management Studio, de- creasing variance and improving reporting accuracy by 30%.

Designed an automated data-quality framework using Azure Data Factory and Logic Apps, cutting issue resolution time by 30% with proactive daily alerts.

Created SQL queries to automate job monitoring via Azure Data Factory, Azure Logic Apps to actively monitor job completion time.

Data Scientist - Research Assistant

Indiana University Bloomington

Bloomington, IN

May 2023 – Apr 2024

Boosted sales margin by analyzing one year of e-commerce data using Python, SQL, and regression models to understand price sensitivity and recommend optimal pricing, achieving a projected 10% profit increase.

Analyzed B2B vs B2C sales with SQL, Python, and Tableau to evaluate order patterns, revenue, and fulfillment, delivering insights that improved decision-making efficiency by 15%.

Applied Latent Dirichlet Allocation (LDA) to analyze DEI data from 200+ brands, uncovering key themes and providing insights to improve brand communication strategies Data Engineer

CitiusTech

Mumbai, India

Nov 2020 – Jul 2022

Reconciled missing patient encounters and standardized provider attribution across EHR and DW systems, driving a 30% reduction in reporting errors.

Enhanced clinical data completeness by refactoring SQL logic and stored procedures, restoring 1,300+ missing patient IDs into the enterprise master index.

Built scalable ETL components - fact tables, views, stored procedures - to automate workflows, cutting manual processing effort by 40% and improving billing accuracy by 25%. Publications

Machine Learning Approach to Analyze Employee Dissatisfaction Divya Manoj, Richa Jaisinghani, Shruti Singh, Srishti Sewatkar, Sujata Khedkar Aug 2020

IJMAS 2020 2

Navigating Consumer Sentiment: Exploring Opinions on AI Generated Content across Domains ITAA 2025 2

Divya Manoj, Garim Lee

Jan 2025

Skills

Programming & Analytics: Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow, R), SQL (SQL Server, Snowflake, Databricks, MySQL)

Data Engineering & Pipeline Tools: dbt, Airflow, Azure Data Factory, Logic Apps, ETL/ELT, CDC Machine Learning & AI: Predictive Modeling, Regression, Classification, Time-Series Forecasting Cloud & Warehousing: Snowflake, Databricks, Azure, AWS, Delta Lake, EDW Analytics & Reporting Tools: Power BI, Tableau, Plotly, Streamlit, R Shiny

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