Abhishek Bhatt

Software Engineer

Seattle, Washington, United States4 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Data Engineering and Machine Learning.
Proven experience in developing ETL pipelines.
Strong background in Azure services for data solutions.

Stackforce AI infers this person is a Data Engineering and Machine Learning specialist in the Automotive and Retail sectors.

Contact

abhishek123bhatt@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringMachine LearningCloud Computing

Other Skills

AlgorithmsAmazon EC2Apache SparkAzure Data FactoryAzure DatabricksAzure servicesBI requirementsBig DataC++Core JavaData StructuresDeep LearningDockerETL pipelinesEclipse

About

CS graduate with a specialization in Data Science. Strong experience and keen interest in Machine Learning, Deep Learning, Statistics and Data Engineering. Programming Languages: Python, SQL Data & AI Frameworks: LangChain, Semantic Kernel, PySpark, PyTorch, NumPy, pandas, scikit-learn, Matplotlib Microsoft Services: Azure Synapse Analytics, Azure OpenAI, Azure AI Search, Azure Machine Learning, Azure Cosmos DB, Cosmos Big Data Platform, Azure DevOps Services Web Frameworks, BI and Developer Tools: Flask, Power BI, GitHub Copilot Relevant Coursework: Artificial Intelligence, Machine Learning, Computer Vision, Natural Language Processing, Probability and Statistical Inference, Regression Analysis, Computational Robotics, Massive Data Mining, Algorithms and Data Structures

Experience

Microsoft

2 roles

Software Engineer 2

Jan 2025 – Present · 1 yr 2 mos · Redmond, Washington, United States · Hybrid

Copilot for Microsoft Purview, Microsoft Security

Software Engineer

Apr 2022 – Jan 2025 · 2 yrs 9 mos · Redmond, Washington, United States · Hybrid

Marketing Engineering (previously Microsoft Store Experiences), Cloud + AI

Tesla

Data Engineering Intern

May 2021 – Aug 2021 · 3 mos · Fremont, California, United States · Remote

Developed end-to-end ETL pipelines for Tesla’s service center data aggregation and analytics.
Contributed towards building full-stack RESTful applications for streaming real-time service business metrics to live dashboards and automating data pipeline creation and management.
Worked closely with data and analytics stakeholders on code reviews, process improvements, debugging and deployment across multiple projects.

ETL pipelinesdata aggregationanalyticsRESTful applicationsreal-time metricsdata pipeline management+2

Antuit

Senior Engineer

Dec 2018 – Dec 2019 · 1 yr · Bengaluru Area, India · On-site

Developed data engineering solutions to fulfill BI requirements of retail giants like Est ́ee Lauder and Starbucks.
Automated key data ingestion feeds, built centralized data lakes and customer analysis workflows on Azure services.
Collaborated with architects and other stakeholders to support data modeling as well as project deployments.

data engineering solutionsBI requirementsdata ingestiondata lakesAzure servicesData Engineering+1