Mrunmayee Dhapre

Software Engineer

United States5 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Designed scalable ETL pipelines and microservices architecture.
Enhanced financial data quality and integrity pipelines.
Developed real-time ML pipelines for environmental monitoring.

Stackforce AI infers this person is a Data Engineering and Cloud Computing specialist with a focus on SaaS solutions.

Contact

mrunmayee.dhapre.98@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData EngineeringData AnalyticsCloud Computing

Other Skills

API DevelopmentAgile MethodologiesAirflowAlgorithmsAmazon Web Services (AWS)Analytical SkillsAngularApache SparkArtificial Intelligence (AI)Azure Data FactoryAzure DatabricksAzure DevOps ServicesAzure Kubernetes Service (AKS)Back-End Web DevelopmentCI

About

🌟 I am a cloud and data professional with 3 years of experience in Python, SQL, and building scalable ETL pipelines and designing microservices architecture at Fractal Analytics. 📚 Currently pursuing my Master’s in Computer Science at SJSU, I specialize in data engineering, cloud computing and machine learning. 💡During my internship at LendingClub, I combined Snowflake, Streamlit, and generative AI techniques like prompt engineering to enhance sentiment analysis and visualization. I also worked on validating financial data quality and integrity pipelines 🔬 As a Research Assistant, I’ve worked on building Real Time ML pipelines with Airflow employing LSTM and Transformers for environmental monitoring, presenting my findings in IEEE conferences as well. 🎓 I am also currently researching techniques for traffic forecasting with temporal graph learning as part of my Masters' project. 📌 Outside of work, I love writing technical blogs about my personal projects, participating in technical conferences and hackathons. Check out my blogs on Medium. Feel free to connect with me or drop me a message!

Experience

5 yrs 6 mos

Total Experience

2 yrs 3 mos

Average Tenure

1 yr

Current Experience

Amazon fulfillment technologies & robotics

Software Engineer

Jun 2025 – Present · 1 yr · Boston, Massachusetts, United States · On-site

Lendingclub

Data Engineer - Data Engineering and Analytics

Jun 2024 – Aug 2024 · 2 mos · San Francisco Bay Area · Hybrid

Implemented a dashboard using LLMs for customer chat data categorization, boosting issue resolution efficiency.
Developed a customizable app for clustering and chi-square analysis, providing tailored user insights.
Enhanced financial data quality pipeline, ensuring data integrity and robust quality checks during loading.

LLMsDashboard DevelopmentData QualityData EngineeringData Analytics

San jose state university

Research Assistant - Machine Learning

Sep 2023 – May 2025 · 1 yr 8 mos · San Jose, California, United States · On-site

Developed Real Time Machine Learning pipeline to retrain the model periodically with Airflow automating workflows by 50%.
Imputed about 10yrs of missing values in time series with a Variational Auto Encoder architecture to capture long term dependencies.

Machine LearningAirflowVariational Auto EncoderData Engineering

Fractal

Software Engineer - Cloud and Data Technology

Sep 2020 – Jul 2023 · 2 yrs 10 mos · Mumbai, Maharashtra, India · Hybrid

Designed a warehousing solution with a uniform interface across sites reducing manpower requirements of the warehouse by 66%
Devised an scalable event-driven microservices architecture with onboarding time for a new warehouse reduced by 50%.
Led a backend team of 4-6 developers as a senior member to build Extract-Transform-Load (ETL) pipelines and mechanisms.
Designed database schema to house data for real-time and historical use across 3 microservices and scale at ease.
Delineated dataflows to calculate approximately 150 warehouse metrics for dashboard integration.
Managed the deployment of the Flask application on Kubernetes cluster in an agile development environment.
Created dashboard in Power BI categorizing and presenting errors on application log raised for Root Cause Analysis.
Extracted 5k records from Azure monitor and populated dashboard with date filter and hierarchical bar charts having 3 levels.
Conducted POCs involving Azure Data Factory, Azure Stream Analytics, graphQL for application with SLA of 1 min.

ETLMicroservicesKubernetesPower BICloud ComputingData Engineering

Vorbicon (start up)

Software Engineer

Jun 2019 – Jul 2019 · 1 mo · Pune/Pimpri-Chinchwad Area · On-site

Executed features for a compliance management solution in Angular, achieving production deployment within 2 weeks.
Orchestrated a web scraping application in Flask to detect dead links within web pages housing approximately 1000 links.

AngularFlaskWeb Scraping