Available for new opportunities · Austin, TX · Open to relocation
Data Engineer & Solutions Architect
Customer-facing Data Engineer with 5+ years building scalable enterprise architectures, cloud data pipelines, and AI-powered analytics at Dell Technologies.
5+
Years Experience
$63M
Orders Impacted
99.9%
SLA Uptime Maintained
86%
ML Model Accuracy
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👔 Professional Mode
🛶 Adventure Mode
Data Engineer by day — Explorer by weekend
Python·Apache Spark·Databricks·Snowflake·Apache Kafka·AWS·GCP·Azure·Airflow·Tableau·Power BI·LangChain·Delta Lake·BigQuery·MLflow·Talend·PySpark·RAG Architectures·Python·Apache Spark·Databricks·Snowflake·Apache Kafka·AWS·GCP·Azure·Airflow·Tableau·Power BI·LangChain·Delta Lake
Featured Projects
Things I've Built
📈
Financial Analytics & Sentiment Analysis
End-to-end AWS pipeline extracting real-time news & tweets with time-series forecasting at 92% accuracy. Built with AWS Lambda, Step Functions, Redshift, Airflow & Streamlit.
View project →
🏦
Lending Club Interest Rate Prediction
ML algorithm with 97% accuracy benchmarking 3 supervised ML models (Linear Regression, Random Forest, Neural Net) against 3 AutoML frameworks including H2O.ai & AutoSklearn.
View on GitHub →
🎬
IMDB Data Warehouse & BI
ETL pipeline loading 60M+ rows across Postgres, Snowflake, MySQL & Oracle in 70 minutes using Talend. Dashboards in Tableau, Power BI, Qlik Sense & Looker.
View on GitHub →
🦠
COVID-19 Web Scraping & Analysis
Scraped worldometer.info for all countries & US states, stored in SQL Server, built interactive Plotly dashboards & Tableau Public visualizations. ⭐ 3 GitHub Stars.
I'm a Data Engineering Advisor at Dell Technologies where I architect enterprise-scale data pipelines, lead technical proof-of-concepts for Fortune 500 customers, and present executive-level readouts to senior leadership.
Over 5+ years I've deployed automated solutions that impacted $63M in orders, built ML models hitting 86.32% accuracy in production failure forecasting, established 99.9% SLA uptime for executive dashboards, and drove a 65% increase in adoption for the Order Life Cycle process mining initiative at Dell.
Prior to my current role, I worked as a BI Engineer Co-op at Dell (Franklin, MA) where I optimized SQL pipelines saving $40K YoY, and as a Research Assistant & TA at Northeastern University where I mentored 150+ graduate students in Spark, SQL, Python & Power BI.
I hold a Master of Science in Information Systems from Northeastern University (GPA 3.84) and won the Global COVID-19 Hackathon in 2020. I'm fluent at bridging the gap between complex data systems and clear business value for stakeholders at every level.
Courses: Data Warehousing & BI, Database Design, Big Data, Data Science, Analytics
🏆 Global COVID-19 Hackathon Winner 2020⭐ Featured Top Student
Bachelor of Engineering — Information Technology
University of Mumbai · Mumbai, India
Graduated May 2019
Courses: Data Structures & Algorithms, Database Management Systems
Career
Professional Experience
5+ years designing data solutions across enterprise environments, university research, and strategic business development.
Data Engineering Advisor — Strategic Business Development
Jan 2022 – Present
Dell Technologies · Austin, TX
🏆 Recipient of the Game Changer Award
Architected complex data management solutions and delivered technical POCs for large-scale enterprise environments, evaluating cost/performance tradeoffs to drive operational efficiency and influence product development for 500+ users
Conducted customer needs analysis and presented executive-level readouts to leadership, successfully positioning strategic initiatives that drove a 65% increase in adoption for the Order Life Cycle (OLC) process mining initiative
Delivered compelling technical demonstrations and workshops to 100+ stakeholders, translating complex data infrastructure into clear, quantifiable business value
Managed data transformations deploying automated solutions impacting $63M in orders and improving overall data quality at scale
Directed ML model development, achieving 86.32% accuracy in forecasting failure, directly improving user retention and product experience
Established and managed 99.9% data availability SLAs for executive dashboards; automated Airflow alerts that reduced downtime and ensured proactive incident response
$63M Impacted99.9% SLA86.32% ML Accuracy65% Adoption ↑500+ Users
Data Analyst, TA & Research Assistant — Data Engineering
Jan 2021 – Dec 2021
Northeastern University · Boston, MA
🎓 Awarded Research Assistantship among 1500+ students
Automated AWS data pipelines using Glue, Lambda, and REST APIs feeding into Redshift, saving 60% processing time and significantly enhancing throughput efficiency
Collaborated with Data Scientists to clean and transform data using Spark DataFrames, ensuring high-quality data ingestion into downstream analytical systems
Mentored 150+ graduate students in SQL, Apache Spark, Python, and Power BI through structured workshops and 1-on-1 sessions, fostering a data-driven academic culture
60% Time Saved150+ Students Mentored
AWS GlueLambdaRedshiftPySparkSQLPower BI
Business Intelligence Engineer Co-op
Aug 2020 – Dec 2020
Dell Technologies · Franklin, MA
⭐ Earned Director's Recommendation
Optimized complex SQL queries, effectively resolved critical data quality issues, reducing project lead time by 60% and saving $40,000 YoY
Developed Tableau dashboards using REST APIs for multiple product lines, automating reporting pipelines and saving 20% of SQE team time
Coordinated with global teams to build PySpark & Airflow pipelines processing 1 TB of daily logs and petabytes of telemetry data
Designed enterprise RBAC policies for data pipelines enforcing GDPR & CCPA compliance, mitigating data security risks across the organization
Real-world data engineering, ML, and BI projects — including all public repositories from github.com/jayshilj.
FEATURED
📈
Financial Analytics & Sentiment Analysis
Data Engineering
End-to-end AWS app that extracts real-time news, tweets & trend data and forecasts future market trends with 92% accuracy. Uses Airflow for orchestration and Streamlit for the dashboard.
Interest rate prediction algorithm with 97% accuracy. Evaluated 3 supervised ML models (Linear Regression, Random Forest, Neural Networks) and 3 AutoML frameworks (AutoSklearn, H2O.ai, TPOT). Applied MICE imputation and LassoCV feature selection on a dataset of 2.2M+ loan records.
Orchestrated an ETL workflow in Talend loading tables across 4 databases (60M+ rows) in a scheduled manner within 70 minutes. Built BI dashboards in Tableau, Power BI (DAX), Qlik Sense, and Looker. Modelled with ER/Studio and profiled with Alteryx.
Scraped worldometer.info for all countries & US states using BeautifulSoup. Stored cleaned data in SQL Server with a Windows Task Scheduler. Built interactive Plotly dashboards and published Tableau Public visualizations tracking daily COVID-19 trends.
Data warehousing and BI solution for a retail store dataset. Used Alteryx for data profiling and transformation and Talend for ETL workflow. Power BI reports with custom DAX measures for executive dashboards.
In-depth Power BI dashboard with drill-through and historical trend analysis covering school and staff data from 2009 to 2018. Features executive-level KPIs, cross-filtering, and custom DAX measures.
Open to full-time Data Engineering, Solutions Architecture, and ML Engineering roles. Also available for consulting and technical advisory engagements.
Available for new opportunities
I'm Jayshil Jain — a Data Engineer and Solutions Architect with 5+ years at Dell Technologies. Whether you have a full-time role, a consulting project, or just want to connect, I'd love to hear from you. I typically respond within 24 hours.
