Andalib Ansari
DATA PLATFORM & AI ENGINEERING
Andalib Ansari

End-to-end data platforms, wired for AI agents.

I build the full path from raw events to a trusted warehouse - orchestration, quality gates, modeling - then wire agentic AI on top of it. I love turning data into insights that help businesses make better decisions, whether that's a production data platform or an automated digital presence audit that tells a business owner exactly where they stand.

Also teaches data engineering to 29,283 students on Udemy — see the course ↓

Data Platform design
Airflow setup
Data quality server
Data Warehouse modeling
Data Analytics
AI Engineering
// data_to_decision.svg
OLTP transactional DB Events stream data S3 batch data Airflow orchestration DQ server custom checks Warehouse modeled schema BI & dashboards reports & KPIs AI Engineering agentic workflows Human validation Decision shipped
// core expertise

What I build, end to end

Not a generalist list — this is the specific stack I've shipped in production, repeatedly.

End-to-End Data Platform Design

Architecting the full path from raw ingestion to governed, trusted data - data lake, warehouse, catalog, and lineage as one coherent platform, not disconnected tools.

AWS S3Data LakeData CatalogData Lineage

Airflow Platform Setup

Standing up production-grade Airflow - custom operators and plugins, DAG authoring standards, code-review conventions, and on-call runbooks that scale as teams grow.

Apache AirflowCustom OperatorsDAG StandardsPagerDuty SOPs

Custom Data Quality Server

Building in-house data quality services from scratch - automated checks that catch schema drift, null violations, and SLA breaches before they hit downstream consumers.

Flask APIReact UI1500+ checks/daySLA/SLOObservability

Data Warehouse Modeling

Designing dimensional models and star schemas built for fast, trustworthy BI — the layer between raw pipelines and the dashboards people actually make decisions from.

RedshiftSnowflakeDatabricksBigQueryData ModelingSQL

AI Apps on Warehouse & Event Data

Building agentic AI applications with n8n and LangChain directly on top of warehouse and event-stream data - RAG assistants, natural-language query agents, and automation workflows.

n8nLangChainRAGEvent DataData Warehouse

Data Warehouse Migration

Moving traditional, on-prem data warehouses to modern cloud platforms - replatforming schemas, pipelines, and workloads with minimal downtime and validated parity.

RedshiftSnowflakeDatabricksBigQuery

Data Analytics

Turning warehouse and event data into dashboards, metrics layers, and ad-hoc analysis that actually drive decisions - not just reports nobody opens.

SQLMetrics LayerBI DashboardsPython

1:1 / Group Data & AI Engineering Coaching

Mentoring engineers and small teams on data platform fundamentals and applied AI - architecture reviews, career guidance, and hands-on pairing, one-on-one or in groups.

MentoringArchitecture ReviewsCareer GuidanceTeam Training

Digital Presence Audit

AI-analysed monthly audits that show local businesses how they look on Google, social and AI search, how they compare with competitors, and exactly what to fix first. Each report is tailored to the business.

AI Search VisibilityReview Sentiment AnalysisCompetitor BenchmarkingWebsite × GBP ChecksSocial AnalyticsAI-Written InsightsAutomated Reporting
// engagement

How an engagement runs

01 / Discover

Scope the work

A short call to understand your data platform, pipelines, or digital presence — and agree what a successful engagement looks like.

02 / Deliver

Build or report

Hands-on delivery — platform architecture, Airflow setup, a data quality server, warehouse migration, an AI agent, or your first Digital Presence Audit report.

03 / Handover

Support & next steps

Documentation and runbooks for technical builds, or a walkthrough of your action plan for audit clients — plus a short support window either way.

// engagement models

Ways to work with me

Data & AI Consulting

Architecture reviews and hands-on build support across any of my core areas of expertise — scoped as a fixed project or ongoing advisory.

Discuss a project →

Data Engineering Build

End-to-end delivery: pipelines, Airflow platform, data quality server, or warehouse migration — scoped and shipped.

Scope a build →

Digital Presence Audit

A monthly report that finds the fixable gaps in your Google listing, reviews, and social media - ranked by what they're costing you in lost patients, with a clear action list to close them.

Request an audit →
// teaching

Also on Udemy

I teach data engineering to a global student base alongside consulting work.

12+
years in data & AI engineering
60%
infrastructure cost reduction delivered
1500+
automated data-quality checks / day
45%
query cost savings delivered
// proof

Selected work

Employer and client names withheld where engagements are proprietary — full context available on request.

Global gaming platform

Enterprise data lake consolidation

Unified BI, AI, and operational workloads onto a single governed AWS data lake, cutting infrastructure costs 60%.

Global gaming platform

In-house data quality server

Built a Flask-based data quality platform running 1500+ automated checks a day across ingestion and transformation layers.

Global gaming platform

Agentic BI assistant

Built a production RAG assistant that lets analysts ask the warehouse questions in plain English - orchestrated with n8n, reasoning handled by LangChain, semantic search backed by a vector database.

Ride-hailing super-app

Centralised warehouse & Airflow platform

Built the data warehouse powering executive dashboards, plus an Airflow DAG generator framework to automate pipeline creation.

// background

Experience

JUL 2023 — PRESENT · AUSTRALIA
Senior Data Architect, Data & AI Engineering
Microgaming Asia
Architected an enterprise AWS data lake and led a production RAG-based BI Assistant. Manages a team of 5 data engineers.
DEC 2019 — JUN 2023 · SINGAPORE
Data Architect, Data & AI Engineering
Microgaming Asia
Re-engineered the on-prem Financial Data Warehouse onto Redshift; scaled the Airflow platform and trained 15+ engineers.
AUG 2017 — NOV 2019 · SINGAPORE
Data Engineer
Grab
Built the centralised Data Warehouse powering C-suite dashboards across ride-hailing, payments, food, and delivery.
JAN 2015 — JUL 2017 · INDIA
Data Engineer
WebEngage
Built the company's Data Warehouse from scratch on Redshift, maintaining 99.9% uptime across ETL, warehouse, and BI layers.
JAN 2014 — DEC 2014 · INDIA
Data Analyst
Freestone Infotech
Designed ETL pipelines generating credit scoring metrics from raw telco datasets on an EMR/Hadoop/Hive stack.
// let's talk

Start a conversation

Tell me a bit about what you're working on and I'll follow up within a couple of days.