12/18/2025 updated

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Data Engineer | Databricks | Microsoft Fabric | ADF | Synapse | Certified Data Engineer

Noida, India Masters of Technology in Computer Science (ML & AI)
Noida, India Masters of Technology in Computer Science (ML & AI)

Profile attachments

Ayush_Data_Engineer_Resume.pdf

About me

Data Engineer with expertise in Python, SQL, Databricks, and Power BI. Experienced in building end-to-end ETL pipelines, medallion architecture, PySpark transformations, dashboard automation, and LLM-driven analytics to convert complex data into actionable insights.

Data Engineering and Pipeline Development
Advanced expertise in designing and building automated ETL pipelines, data transformation using SQL and Python, and implementing scalable data architectures with Azure Databricks and cloud platforms

Business Intelligence and Data Visualization
Proficient in creating interactive dashboards and reports using Power BI, Fabric, and Azure Databricks for data-driven decision making and insight generation

Machine Learning and Predictive Analytics
Experience in developing predictive models, quantitative analysis, and implementing machine learning solutions for forecasting trends and business optimization

Programming and Development
Strong programming skills in Python, SQL, and VBA for data processing and automation solutions

Cloud Platforms and DevOps
Experience with Azure DevOps, Git, and cloud-based data management systems for efficient deployment and version control

Big Data Analytics Tools
Proficiency in handling large datasets using specialized analytics tools and platforms for enterprise-level data processing

Database Management
Expertise in SQL Server, Microsoft Excel, and various database technologies for data storage and retrieval optimization

Data Security and Compliance
Knowledge of secure encryption protocols and data security compliance measures for enterprise environments

Languages

EnglishFluent

Project history

Data Engineer

ZS Associates

500-1000 team member

• Patent Data : Designed and built an automated ETL pipeline to ingest U.S. Patent Office data by downloading ZIP files, extracting XML, parsing required fields, converting to CSV, and loading the curated dataset into SQL tables,improving data availability and processing efficiency.
• PitchBook Startup Data : Developed a full medallion-architecture data pipeline for PitchBook startup datasets,
including ingestion to Bronze, complex transformations to Silver, and business-ready Gold tables; enabled insights by building an interactive Power BI dashboard for end-user consumption.
• CPO Buyer Needs Generation : Engineered an LLM-powered data pipeline in Databricks that processes analyst discussion summaries and customer questions to generate buyer-need recommendations using GPT endpoints,significantly enhancing Gartner’s content intelligence capabilities.

Certificates

DP-600

Microsoft

2025


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