---
title: "Md Ashraf - Freelance in Bengaluru | Tal"
description: "Meet Md Ashraf, Senior Data & AI Engineer | GenAI · LLM · RAG · ML Pipelines | Business Analysis | Python · PySpark · dbt · Airflow | Supply Chain Analytics | Cloud (AWS · Azure · GCP) | ServiceNow | EDI | Bengaluru · Remote · Global based in Bengaluru. AI stack includes langchain, notion, and open..."
image: "https://tal.club/meet/md-ashraf/share-image"
---

# Md Ashraf on Tal

## Headline

Senior Data & AI Engineer \| GenAI · LLM · RAG · ML Pipelines \| Business Analysis \| Python · PySpark · dbt · Airflow \| Supply Chain Analytics \| Cloud \(AWS · Azure · GCP\) \| ServiceNow \| EDI \| Bengaluru · Remote · Global

## About

I build data systems and AI\-powered platforms that turn raw, siloed data into reliable, decision\-ready intelligence — across supply chain, logistics, SaaS, finance, and healthcare domains\. With \~5 years of experience spanning Data Engineering, Generative AI, Machine Learning, Business Analysis, and Cloud Data Platforms, I sit at the intersection of engineering and business outcomes\. I don't just build pipelines — I build systems teams trust, scale, and act on\. — What I build — • End\-to\-end data pipelines: batch \+ real\-time, 10M\+ records/month, Airflow · Kafka · Spark · dbt · Delta Lake • GenAI applications: RAG document intelligence, NL\-to\-SQL assistants, agentic AI workflows, LangChain · LangGraph · OpenAI · Vertex AI • ML pipelines: feature engineering, model deployment, MLOps, scikit\-learn · XGBoost · Hugging Face • Cloud data platforms: AWS \(S3, Glue, Lambda, Redshift\) · Azure \(ADF, Synapse, ADLS, Azure OpenAI\) · GCP \(BigQuery, Dataflow\) • Analytics engineering: dbt models, Tableau · Power BI dashboards, KPI frameworks, self\-serve reporting • Supply chain analytics: logistics data modeling, EDI integration \(X12/EDIFACT\), demand forecasting, inventory analytics • ServiceNow integration: ITSM data workflows, REST API automation, ServiceNow reporting pipelines • Data quality & observability: anomaly detection, lineage tracking, Great Expectations · Monte Carlo patterns — Industries — Supply Chain · Logistics · Freight · SaaS · Enterprise Analytics · Finance · Healthcare · Retail — Technical Stack — Python · PySpark · SQL · dbt · Airflow · Kafka · Spark · Delta Lake · Snowflake · BigQuery · Redshift LangChain · LangGraph · RAG · LLMs · OpenAI · Azure OpenAI · Vertex AI · Gemini · Hugging Face Tableau · Power BI · FastAPI · Pandas · scikit\-learn · XGBoost AWS · Azure · GCP · Docker · Git · REST APIs · ServiceNow · EDI \(X12/EDIFACT\) Open to: Data Engineering · GenAI / LLM Engineering · AI/ML Engineering · Data Science · Analytics Engineering · Python Development · Business Analysis · Data Analysis · Supply Chain Analytics · Cloud Data Engineering Available for full\-time, contract, and remote opportunities globally\.

## Location

Bengaluru

## AI stack

langchain

notion

openai

windsurf

## Work experience

Freelance at No\-company\. \(Self\-employed\.\), Oct 2024 \- Present · 1 yr 8 mos, India, Designed and deployed scalable cloud data pipelines and AI\-enabled data systems for startups and enterprise teams\. Architected end\-to\-end data pipelines processing 10M\+ records/month across batch and near real\-time workflows Built analytics\-ready data models improving reporting reliability by 30–40% Reduced manual data processing effort by 35%\+ through pipeline automation and orchestration Developed GenAI\-powered systems \(RAG document intelligence, NL\-to\-SQL assistants\) improving data accessibility for non\-technical users by 50% Implemented data observability and anomaly detection reducing pipeline failures by 25% Enabled decision\-ready datasets supporting multiple business teams and stakeholders Impact: Accelerated reporting cycles, improved data trust, and enabled faster business decision\-making\.

Business Analyst at Soft Freight Logic, Mar 2024 \- Jul 2024 · 5 mos, Bengaluru, Karnataka, India, Built scalable data engineering and analytics systems supporting operational and AI\-driven workflows\. Developed SQL and Python\-based pipelines improving data processing efficiency by 30% Designed cloud analytics architecture improving query performance by 25–35% Implemented GenAI\-driven document processing reducing manual review effort by 40% Built data quality and observability systems reducing reporting inconsistencies by 20%\+ Strengthened governance through lineage tracking and metadata management improving audit readiness Impact: Increased operational visibility and enabled faster analytics adoption across teams\.

Technical Analyst at Blume Global, Mar 2023 \- Mar 2024 · 1 yr 1 mo, Bengaluru, Karnataka, India, Delivered supply chain data engineering and analytics solutions within enterprise\-scale environments\. Engineered ETL workflows supporting large\-scale logistics and operational datasets Automated reporting and dashboards reducing turnaround time by 30% Designed data models improving KPI tracking accuracy and visibility across supply chain workflows Leveraged Python, SQL, Tableau, and Airflow to automate data delivery pipelines Collaborated with stakeholders to translate requirements into scalable technical implementations Impact: Improved supply chain visibility, operational efficiency, and data\-driven decision\-making\.

Associate Technical Analyst at Blume Global, Jul 2021 \- Feb 2023 · 1 yr 8 mos, Bengaluru, Karnataka, India, • Conducted data analysis and process modeling to identify inefficiencies and propose improvements\. • Collaborated with stakeholders to define requirements and translate them into actionable insights\. • Designed and delivered ETL workflows, reporting dashboards, and SQL\-based solutions to enhance visibility and performance tracking\. Contributed to Agile projects by maintaining documentation, supporting sprints, and ensuring alignment with SDLC processes\.

## Education

Bachelor of Engineering \- BE, Computer Science, Sagar Group \(SIRTE Bhopal\) \| Sagar Group of Institutions,Bhopal

[View the original profile](https://tal.club/meet/md-ashraf)

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