Data Victims

Sailing Data From Chaos to Clarity

Production data platforms, built end to end.

Learn them from our guides, prepare with our mock interviews, or hire us to build yours.

01What We Do

From Chaos to Clarity

Guides and interview prep for engineers, and the same hands on engineering for your business.

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01

Learn by building

End to End Data Project Guides

Complete builds on Azure, Google Cloud, AWS, Snowflake and Databricks, from the first file landing to the last dashboard. Full code, a step by step guide, the data, and a cost breakdown, so you know what it costs before you start.

AzureGCPAWSSnowflakeDatabricks
Browse the guides
02

Get the job

Interview Case Studies and Code Tests

Real mock interviews for data engineering and data analyst roles, junior to senior. The job description, the full interview, worked answers you can say out loud, SQL and code that has actually been run, and the mistakes that cost people the job.

SQLPythonJunior to Senior
Watch on YouTube
03

Before you commit

Consulting and Second Opinions

Architecture reviews, pipeline audits and “is this design right?” calls. An experienced eye on your data platform before you spend the budget, with a straight answer on what to keep, fix or drop.

ArchitecturePipeline auditCost review
Book a call
04

We build it

Freelance Builds

Pipelines, lakehouses, data models and BI dashboards. Scoped honestly, built end to end, documented, and handed over production ready so your team can run it without us.

LakehousedbtOrchestrationBI
Start a project
05

Alongside your team

Client Engagements

Longer term work embedded with your team: owning the data platform, adding AI where it earns its place, mentoring engineers, and shipping with you week after week. No lock in.

OngoingData and AIMentoring
Talk to us
06

Practice for real

Mock Technical Interviews

A realistic data engineering, data analyst or data security interview run against the job you are chasing, or one we suggest, with honest, detailed feedback on every answer.

Data EngineeringAnalystSecurity
Book a mock
02The Library

Build It. Then Ace the Interview.

14 project guides built from working systems and 15 mock interview guides with every answer worked through. Every company in them is fictional, every number is real.

Project Guide

UrbanKart

Build a full Azure retail data platform, from source tables to a Power BI report.

IntermediateData EngineeringFictional company
Cloud
Level
Role
14 of 14 guides
FrostLine: Track temperature controlled medicine shipments end to end in Snowflake.
SignalTrust: Lock down a mobile operator's call records with Snowflake governance controls.
VoltGrid: Measure EV charger reliability and energy margin on Google Cloud for about USD 5.
UptimeAI: A complete AI system that predicts chiller failures and books the fix.
ClearLine: Read every customer call with Gemini, straight from BigQuery SQL.
Redline: Work out which version of each contract clause is really in force.
AquaTrace: Find where a water network loses its water, and send a crew to the right job.
Warden: Put an AI firewall in front of a chatbot and its agent.
Vigil: Catch a valid login quietly stealing your data, and cut it off.
UrbanKart Realtime: Catch a broken checkout during the day, not the morning after.
VaultBank: Read every complaint with AI and score every card swipe for fraud, in one lakehouse.
TransitOps: Turn a live public subway feed into delay analytics, for about 25 USD a month.
TrialMatchAI: Match a patient to clinical trials, cite every claim, and keep checking every night.

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0114
03The Stack

Tools We Work With

The platforms teams actually hire for, used across our guides and client work. Hover a logo to see where we use it.

The tools behind every build.

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PythonPython

Python

Used in 21 guides

Apache SparkApache Spark

Apache Spark

Used in 8 guides

DatabricksDatabricks

Databricks

Used in 6 guides

SnowflakeSnowflake

Snowflake

Used in 3 guides

AzureAzure

Azure

Used in 7 guides

AWSAWS

AWS

Used in 1 guide

Google CloudGoogle Cloud

Google Cloud

Used in 7 guides

BigQueryBigQuery

BigQuery

Used in 7 guides

Data FactoryData Factory

Data Factory

Used in 3 guides

Power BIPower BI

Power BI

Used in 9 guides

dbtdbt

dbt

Used in 2 guides

AirflowAirflow

Airflow

Used in 1 guide

KafkaKafka

Kafka

Used in 1 guide

DockerDocker

Docker

Used in 2 guides

TableauTableau

Tableau

Used in 2 guides

PostgreSQLPostgreSQL

PostgreSQL

Used in 1 guide

StreamlitStreamlit

Streamlit

Used in 4 guides

GeminiGemini

Gemini

Used in 4 guides

ExcelExcel

Excel

Used in 2 guides

DuckDBDuckDB

DuckDB

Used in 4 guides

04The Channel

Latest from the Channel

Full builds, cloud setup walkthroughs and real mock interviews, straight from YouTube.

05The Team

Meet the Team

Three engineers who build, secure and ship data platforms for a living, and write down every step.

Haseebullah Shaikh

Haseebullah Shaikh

Founder, Senior Data and AI Engineer

“I don't just move data. I make it talk, perform, and drive decisions.”

I'm a Senior Data Engineer who builds and ships production systems for real companies across the UK, South Africa, the Middle East, and Pakistan. Smart pipelines, powerful models, clean medallion architectures: data that lands where it should, fast, secure, and ready for action.

From SQL wizardry to Python spells, cloud platforms to APIs, I play with it all. Data Victims is where I take everything I've learned shipping real systems and turn it into builds you can follow end to end: real architecture, real problems, real fixes, nothing skipped.

Tech keeps changing. I keep learning. And no matter the tool, I get the job done.

Muhammad Alee

Muhammad Alee

Data and AI Engineer

“Give me messy data and a real problem. I'll give you something a business can run on.”

I'm a Data and AI Engineer who builds end to end data projects across Azure, Google Cloud, Snowflake and Databricks: ingestion, lakehouses, dbt models, orchestration, and the reports people actually use. More and more, that includes AI in production too: RAG, predictive models and agents with a human in the loop.

At Data Victims I build and write many of our project guides, so every step you follow has been run for real, and I help run our mock interviews.

New tool, new cloud, new problem. I'll figure it out and write down how.

Shayan Khan

Shayan Khan

Data and AI Security Engineer

“Good data security is invisible. The right people get in, and nobody else does.”

I'm a Cyber Security Engineer focused on data. I secure data platforms end to end: who can see what, how it's encrypted, where the keys and secrets live, and what happens the moment something looks wrong. Access control, masking, row and column level security, audit trails and incident response, across Azure, AWS and Google Cloud.

At Data Victims I build the security side of our projects, from an AI firewall that stops a hijacked chatbot to a watchdog that catches a stolen login quietly exporting data. I also run our mock interviews for data and security roles.

I'd rather build security in on day one than patch it on day ninety.

06Work With Us

Let's Build It Together

From a one hour consulting call to a fully delivered data platform. Bring us the problem, we will bring the plan.

Tell us about your data problem. We'll tell you honestly if we can fix it.