AI Data Engineer & Platform Developer

ABDUL KHADER

Boston, MA 774-***-**** *************@*****.*** LinkedIn GitHub

Data engineer and AI/data platform developer with 6 years of combined hands-on experience across enterprise roles, internships, and project- based engineering. Strong in Python, SQL, Snowflake, PostgreSQL, ETL/ELT, data modeling, APIs, Docker, GitHub CI/CD, workflow automation, and cloud data platforms. Built enterprise pipelines, RAG agents, Power Automate integrations, analytics systems, and full-stack products connecting AI with operational data and business systems. PROFESSIONAL EXPERIENCE

AI Developer SME, Achyuraa Inc. Boston, MA May 2025 – Present

• Built enterprise-scale Python and SQL data workflows integrating Snowflake, PostgreSQL, Dataverse, SharePoint, Qlik, REST APIs, and structured/unstructured sources for analytics and AI workloads.

• Designed the NPV automation pipeline for ingestion, transformation, validation, and reporting using Python, Snowflake, Power Automate, and enterprise data sources; added monitoring and exception handling for reliable operations.

• Engineered Canada Sales automation and intake workflows connecting Copilot/Teams, Dataverse, Power Automate, Jira, and Power BI, reducing manual handoffs and creating traceable operational data flows.

• Developed RAG and document-intelligence agents using Azure OpenAI, Azure AI Search/ChromaDB, LangChain, Semantic Kernel, and vector retrieval for enterprise knowledge and support use cases.

• Containerized AI/data services with Docker and implemented GitHub-based CI/CD, automated deployment checks, application monitoring, and operational telemetry through Azure Monitor/Application Insights.

• Built API-driven workflow automations and agent integrations for IT support, AI intake, document processing, and business operations, with security-aware access patterns and auditable data movement. Business Analyst Intern, ATT Motors LLC Worcester, MA Mar 2025 – May 2025

• Built Python ETL pipelines consolidating auction, warranty, inventory, and sales records into a Snowflake analytical model; automated refreshes and reduced manual reconciliation across dealership workflows.

• Developed demand forecasting and operational analytics using Python, Prophet/ARIMA, Tableau, and Snowflake-backed datasets, applying MAPE/RMSE validation to support inventory decisions. Associate Analyst, NTT DATA Services Bengaluru, India Dec 2022 – Jul 2023

• Supported enterprise technology operations for a U.S. banking client, managing 300+ ServiceNow incidents and using prioritization analytics and workflow improvements to increase SLA compliance by 12%.

• Worked across support, automation, data analysis, and enterprise Copilot enablement, translating operational issues into repeatable workflows and measurable service improvements.

Data Analyst, HP Inc. Bengaluru, India Aug 2021 – Dec 2022

• Built SQL reporting infrastructure and Python/Pandas ETL pipelines for global sales and logistics teams; automated daily refresh cycles and reduced manual reporting effort through schema and query optimization.

• Supported relational data modeling, data quality checks, operational reporting, and analytics pipelines used by cross-functional business teams.

TECHNICAL SKILLS

Languages & Frameworks: Python, SQL, JavaScript, TypeScript, Django, Flask, Node.js, React Native/Expo, R, YAML, REST APIs Data Engineering: ETL/ELT pipelines, data modeling, schema design, normalization/denormalization, query optimization, data quality, batch/event-driven workflows, Pandas, NumPy, PySpark, Airbyte, Azure Data Factory Databases & Storage: Snowflake, PostgreSQL, MySQL, Dataverse, Redis, ChromaDB, vector stores, OLTP/OLAP design, cloud data storage concepts

Automation & Integration: Power Automate, Copilot Studio, Jira APIs, ServiceNow, SharePoint, Qlik, Kafka, webhooks, API integrations, workflow orchestration patterns

AI & ML: Azure OpenAI, RAG, Azure AI Search, Semantic Kernel, LangChain, Hugging Face, Scikit-learn, TensorFlow, XGBoost, embeddings, vector search, forecasting

DevOps & Cloud: Docker, containerized services, GitHub Actions, CI/CD, Azure Functions, Azure Monitor, Application Insights, Key Vault, Linux, Power BI, Tableau

Role-Aligned Familiarity: AWS S3, Lambda, SQS/SNS, EC2, CloudWatch, IAM; Apache Airflow concepts, Jenkins CI/CD, Shell scripting SELECTED TECHNICAL PROJECTS

• 18 Cricket Network — Full-stack cricket platform built with React Native/Expo and API-driven backend services; designed a 40+ table normalized PostgreSQL data model covering users, player/team/tournament identity, scheduling, marketplace and seller workflows, payments, and real-time product experiences, with a scalable modular application architecture.

• Enterprise AI Intake & Power Automate Workflow — Designed a Teams/Copilot intake experience that writes governed request fields to Dataverse, triggers Power Automate, creates Jira work items, and feeds Power BI reporting, forming an end-to-end workflow from user request through operational tracking and analytics.

• NPV Data Automation — Built Python/Snowflake pipeline and workflow automation for ingesting, transforming, validating, and reporting NPV data; integrated enterprise sources, automated processing steps, exception handling, and reporting handoffs to replace manual execution.

• Canada Sales Automation — Built data and workflow components supporting Canada Sales intake and reporting, including structured request capture, backend integrations, Microsoft Power Platform automation, Jira handoffs, and analytics-ready operational data.

• RAG Agents & Document Intelligence — Built retrieval-augmented generation systems using Azure OpenAI, Semantic Kernel, LangChain, Azure AI Search/ChromaDB, embeddings, and enterprise documents; implemented API and workflow integrations for IT support, knowledge retrieval, and document-processing use cases.

• Website Digital Assistant / Chatbot — Designed and evaluated a customer-facing chatbot architecture for the Achyuraa website using Tidio/Lyro, WordPress/Netlify deployment options, knowledge grounding, escalation flows, access requirements, and implementation planning for production rollout.

• CoRec NLP Platform — Designed a multi-tenant NLP support platform with PostgreSQL OLTP, Redis caching, policy-aware routing, auditability, Dockerized API services, GitHub CI/CD, telemetry, and secure enterprise integration patterns.

• CueVault Prompt Intelligence Pipeline — Created a Python/Google Colab web-data pipeline to collect, clean, normalize, validate, and export prompt intelligence from multiple public sources into structured CSV/Excel deliverables for downstream analysis and review.

• Customer Segmentation Engine — Built a segmentation pipeline on 100K+ profiles using K-Means, DBSCAN, and PCA; exposed results through Django REST APIs with MySQL profile storage and Redis caching, demonstrating end-to-end analytical data product development. EDUCATION

M.S., Data Analytics, Clark University, Worcester, MA Dec 2025 PGP, Data Science, IIIT Bangalore, India May 2023

B.E., Computer Engineering, Visvesvaraya Technological University, India Aug 2021

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