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I am a Data Engineer with over 4 years of experience designing scalable pipelines and cloud-based data workflows. I have a track record of improving pipeline efficiency by 70% and reducing query runtimes by 60%, enabling real-time insights from millions of structured and time-series records. I am proficient in Python, SQL, PySpark, and enjoy mentoring and leading technical initiatives, having guided 200+ students and driven multiple technical programs to success.…I am a Data Engineer with over 4 years of experience designing scalable pipelines and cloud-based data workflows. I have a track record of improving pipeline efficiency by 70% and reducing query runtimes by 60%, enabling real-time insights from millions of structured and time-series records. I am proficient in Python, SQL, PySpark, and enjoy mentoring and leading technical initiatives, having guided 200+ students and driven multiple technical programs to success.

Shruti Milind Randive

Data Analyst, Data Scientist, Full Stack Developer, +1

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I am a Data Engineer with over 4 years of experience designing scalable pipelines and cloud-based data workflows. I have a track record of improving pipeline efficiency by 70% and reducing query runtimes by 60%, enabling real-time insights from millions of structured and time-series records. I am proficient in Python, SQL, PySpark, and enjoy mentoring and leading technical initiatives, having guided 200+ students and driven multiple technical programs to success.…I am a Data Engineer with over 4 years of experience designing scalable pipelines and cloud-based data workflows. I have a track record of improving pipeline efficiency by 70% and reducing query runtimes by 60%, enabling real-time insights from millions of structured and time-series records. I am proficient in Python, SQL, PySpark, and enjoy mentoring and leading technical initiatives, having guided 200+ students and driven multiple technical programs to success.

Available to hire

I am a Data Engineer with over 4 years of experience designing scalable pipelines and cloud-based data workflows. I have a track record of improving pipeline efficiency by 70% and reducing query runtimes by 60%, enabling real-time insights from millions of structured and time-series records.

I am proficient in Python, SQL, PySpark, and enjoy mentoring and leading technical initiatives, having guided 200+ students and driven multiple technical programs to success.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Analyst at Exeliq Consulting

February 1, 2025 - November 4, 2025

Engineered a high-performance data processing pipeline to analyze 150,000+ intraday options records in real-time, slashing data preparation time by 70% and enabling rapid testing and validation of trading strategies. Performed comprehensive exploratory data analysis on 5+ years of historical market data to uncover critical trends in market volatility and pricing, informing investment strategies. Developed dynamic, business-ready dashboards and reports highlighting profitable strike zones and portfolio risk exposure to accelerate daily decision-making for trading teams. Built a predictive dividend trend model from 10+ years of data, reducing quarterly forecast time by 4 hours and identifying $2M in previously overlooked risk exposure.

Data Analyst at Kiddo Health

November 1, 2023 - November 1, 2023

Designed and deployed interactive Tableau dashboards to automate tracking of key pediatric activity and wellness metrics, reducing reporting latency by 60% and providing clinical teams with real-time operational visibility. Processed and analyzed over 5 million records of raw data from child wearable devices to identify core health trends, enabling clinicians to deliver more personalized and proactive patient recommendations. Enhanced the accuracy of automated sleep pattern detection by 15% through rigorous cleaning, filtering, and labeling of time-series datasets, ensuring higher-quality input for predictive health models.

Graduate Research Assistant (Data Analytics) at Northeastern University

December 1, 2023 - December 1, 2023

Engineered a full-stack Flask web application that integrated machine learning model outputs with Electronic Health Record (EHR) data, providing researchers with an intuitive analytics tool that improved diagnostic hypothesis response time by 40%. Developed and implemented automated data processing workflows to systematically analyze large-scale medical imaging and clinical datasets, which directly contributed to a peer-reviewed MDPI publication.

Business Analyst / Software Developer at Apexon - Infostretch

August 1, 2022 - August 1, 2022

Partnered with key healthcare stakeholders to design and specification for 5+ interactive Tableau dashboards and a suite of reporting APIs, which consolidated disparate data sources and improved decision-making efficiency for clinical operations by 25%. Led the end-to-end migration of legacy on-premise data reporting systems to a scalable AWS cloud infrastructure, resulting in a 30% reduction in operational costs and establishing a secure, HIPAA-compliant framework for cross-departmental data sharing. Optimized the performance and error-handling for 15+ critical reporting APIs through code refactoring and enhanced logging, which slashed the average error resolution time from 4 hours to under 15 minutes and improved overall system reliability by 40%.

Data Engineer at Exeliq Consulting

February 1, 2025 - November 7, 2025

Designed a PySpark backtesting pipeline processing 150K+ intraday options records and automated ETL workflows to standardize iVolatility API data, reducing manual prep by ~70%. Optimized strike-level partitioning and expiry filters to cut query runtimes by ~60%, enabling faster volatility analysis. Conducted EDA on 5+ years of historical options data to identify skew patterns and profitable strike zones for multiple strategies. Built a dividend analysis module analyzing 10+ years of payout history to enrich backtesting accuracy.

Graduate Research Assistant at Northeastern University

December 1, 2023 - December 1, 2023

Developed a Flask-based workflow that standardizes EHR data and integrates with ML models; improved response speed by 40% using Flask-Compress and containerized deployments for scalable performance. Automated image and clinical data pipelines, contributing to a peer-reviewed MDPI publication on AI-driven diagnostic tools.

Data Engineer at Kiddo Health

November 1, 2023 - November 1, 2023

Reduced reporting latency by 60% by building a real-time ingestion dashboard for pediatric activity metrics. Implemented pipelines to process 5M+ minute-level records from wearables, storing in AWS S3 and orchestrating ETL with AWS Glue and Delta Lake. Enhanced sleep pattern detection model accuracy by 15% through a scalable annotation pipeline in Label Studio for multivariate time-series data.

Software Developer at Apexon - Infostretch

August 1, 2022 - August 1, 2022

Engineered secure streaming healthcare data exchange with Python REST APIs, MongoDB, and AWS Lambda; migrated on-prem workloads to AWS serverless architecture, achieving ~25% scalability gains and HIPAA compliance. Delivered a POC Flask application for Remote Patient Monitoring devices and optimized 15+ APIs with asynchronous processing and robust API-level logging.