Nandini Doma
Data Engineer • Herndon, VA, USA • n*****************@gmail.com • 703****581 • linkedin.com/••••• • drivetube.ai/•••••
Professional Summary
Data Engineer with 4 years of experience designing, developing, and optimizing enterprise ETL and cloud-based data solutions. Experienced with Informatica PowerCenter, Databricks, PySpark, Azure Data Factory, SQL and Power BI to deliver reliable data pipelines, automated ingestion, data reconciliation, and business-ready analytics in Agile environments.
Technical Skills
Programming Languages: Python,C#,Shell Scripting
Databases: SQL,SQL Server,Azure SQL Database,MySQL,MongoDB
Cloud and DevOps: Azure Data Factory,Azure Blob Storage,Azure Functions,Azure Logic Apps,Azure Key Vault,Azure SQL
Data and Analytics: ETL,ELT,Informatica PowerCenter,Databricks,PySpark,Data Pipelines,Data Warehousing,Data Modeling,Data Transformation,Data Validation,Data Cleansing,Data Reconciliation,Data Migration,Microsoft Excel,Power Query,XLOOKUP,VLOOKUP,INDEX-MATCH,Pivot Tables,Conditional Formatting,Power BI,Dashboard Reporting
Tools and Methodologies: Git,Azure DevOps,Visual Studio,VS Code,Jupyter Notebook,Postman,SFTP,Agile,Scrum,Production Support,Root Cause Analysis,SDLC
Work Experience
RealSoft Technologies
Herndon, VA, USA
Data Engineer Intern
September 2024 – Present
Supported advisor, customer, financial and investment data processing and reporting; prepared and validated datasets consumed by downstream BI and reporting systems.
Tech Stack: SQL, Python, Microsoft Excel, Power Query, Power BI, Azure SQL, Azure Data Factory, Git
- Managed large Excel upload templates containing customer, advisor, financial and operational datasets; standardized templates and built Power Query flows to enforce schema and formatting rules for downstream ingestion.
- Processed and validated Excel, CSV and structured datasets by implementing validation routines and SQL checks to identify missing/duplicate records and correct formatting issues before ETL loads.
- Built Power Query transformations and Excel automation using XLOOKUP, INDEX-MATCH and pivot tables to merge sources and deliver business-ready datasets for reporting teams.
- Developed SQL extraction and transformation queries and Python validation scripts to reconcile source files with Azure SQL targets and detect data drift prior to production loads.
- Supported ETL workflows and pipeline monitoring in Azure Data Factory; triaged data load failures, performed root cause analysis and coordinated fixes to meet SLAs.
- Produced ad hoc analytical datasets and Power BI reports for advisor and business stakeholders; gathered requirements, prioritized requests, and participated in Agile ceremonies and production support.
Accenture
Hyderabad, India
Data Engineer
September 2022 – August 2024
Delivered data engineering and ETL solutions at Accenture, building scalable ingestion and transformation pipelines for enterprise clients using Informatica, Databricks and PySpark.
Tech Stack: Informatica PowerCenter, Databricks, PySpark, SQL, Shell Scripting, SFTP, Azure Data Factory, Git, Azure DevOps, Power BI
- Engineered scalable ETL pipelines using Informatica PowerCenter and Databricks to ingest and stage large client datasets; designed mappings, sessions and workflows to support repeatable enterprise ingestion.
- Designed and implemented PySpark jobs on Databricks for large-scale transformations and aggregations, tuning cluster configuration and job parameters for improved throughput and stability.
- Optimized ETL pipeline performance through mapping and job tuning, improving end-to-end processing times and increasing data readiness for downstream reporting and analytics.
- Implemented data validation and reconciliation frameworks using SQL and Python to enforce business rules, detect anomalies, and ensure source-to-target data accuracy across environments.
- Automated secure file ingestion and transfers using Shell scripting and SFTP; integrated automated ingestion into Azure Data Factory schedules for reliable recurring loads.
- Monitored ETL job health and implemented proactive alerting and logging; supported production deployments, performed root cause analysis for incidents and collaborated with cross-functional teams in Agile delivery.
Projects
Enterprise Data Integration & Reporting Platform
Tools Used: Python, SQL, Azure Data Factory, Azure SQL, Power BI
- Designed end-to-end ETL pipeline to ingest Excel and CSV datasets into Azure SQL Database and applied SQL transformations and Python validation scripts to enforce data quality.
- Performed source-to-target reconciliation and developed Power BI dashboards to surface KPIs and operational metrics for business users.
- Automated recurring data loads via Azure Data Factory to reduce manual processing and ensure timely availability of analytics-ready datasets.
Sales Analytics Dashboard
Tools Used: SQL, Python, Power BI, Excel
- Processed transactional datasets using SQL and Python for EDA and KPI computation, then developed interactive Power BI dashboards to track sales performance.
- Automated recurring report generation to streamline delivery of weekly and monthly metrics to stakeholders.
House Price Prediction using Machine Learning
Tools Used: Python, Pandas, NumPy, Scikit-learn
- Performed data preprocessing and feature engineering on housing datasets, trained regression models and evaluated performance to improve prediction accuracy.
Education
University of Maryland, Baltimore County
Master of Science – Information Systems • Baltimore, MD, USA • aug 2024 – May 2026
Coursework: Database Systems, Data Analytics, Machine Learning, Cloud Computing, Big Data Analytics, Statistics
Sridevi Women's Engineering College
Bachelor of Technology – Information Technology • Hyderabad, India • 2020 – 2024
Certifications
Microsoft Certified: Azure Developer Associate (AZ-204) — Microsoft
AWS Certified Solutions Architect – Associate — Amazon Web Services
Programming Essentials in Python
HackerRank Software Engineer Certification — HackerRank
Powered by Drivetube · Create your own profile at drivetube.ai
Explore Drivetube
- Drivetube Profile — your free digital resume — at drivetube.ai/in/your-name: one true standard resume with a Hiring Snapshot (visa status, expected salary, notice period, work preference, relocation), an ATS-ready PDF download and a single shareable link. Free forever; interview requests come from verified employers and your contact details stay masked until you accept. Documentation.
- Free Job Board — verified openings crawled ATS-by-ATS from 100,000+ real company career pages across 35 ATS platforms. Shows the true posting date from the source ATS — not when a listing was indexed — and deletes every general listing 3 days after it was actually posted. No ghost jobs, no ad-sponsored listings, no staffing reposts, no account needed. Documentation.
- Job Hunt Program — managed job hunting, a one-time purchase from $199.99. JobScout matches verified roles to your real experience band, Blend AI writes a uniquely tailored resume and cover letter for every application, and the Autofill extension fills the form — or Let Us Apply submits it for you. Documentation.
- Resume Writing Services — human-written, ATS-optimised resumes by senior career writers, from ₹499.99 / $25.99. Available in every country, written to the destination country's own standard — a US resume, UK CV, German Lebenslauf and Indian resume are genuinely different documents. A paid service, separate from the free Drivetube Profile. Documentation.
- Community Membership — from $4.99/month (₹1,999/year in India). Unlocks the gated job-board filters — visa sponsorship, security clearance, workplace and application time — plus Job-Scout AI matching, Resume Report AI, Interview AI prep sheets, Recruiter Outreach AI sent from your own Gmail, Apply or Skip triage, a daily market feed and a $10,000+ library including 23 ATS-validated resume templates. Documentation.
- Drivetube Hire — for employers — hiring with no job postings and no applications. Paste your real job description and AI matches it against candidates' true standard resumes, returning ranked candidates with a match %, matched and missing skills and written reasoning. Free tier included; employers pay, candidates never do. Documentation.
Full product documentation — every product explained, with feature-by-feature comparisons against the job boards, AI apply tools, resume services and hiring platforms people actually use.
The job board covers the United States, India, United Kingdom, Canada, Europe and Australia, and Resume Writing Services are available in every country.