Hassan Bin Zaheer, Developer in Melbourne, Victoria, Australia
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Hassan Bin Zaheer

Bio

Hassan is a data and AI architect with 15 years of experience designing enterprise data platforms, cloud architectures, and AI-enabled analytics solutions. He helps clients turn complex data challenges into practical roadmaps, scalable engineering delivery, and measurable business outcomes across Snowflake, Databricks, AWS, and Azure.

Portfolio

Slalom
Snowflake, Databricks, Agentic AI, AI-assisted Development, AI Agents...
ARQ Group
Amazon Web Services (AWS), Apache Airflow, AWS Glue, Apache NiFi...
Afiniti
Python, SQL, Greenplum, PostgreSQL, Docker, R, ETL, ELT, Data Architecture...

Experience

  • Python - 10 years
  • SQL - 10 years
  • Data Engineering - 6 years
  • Amazon Web Services (AWS) - 3 years
  • Apache Airflow - 3 years
  • Data Build Tool (dbt) - 2 years
  • Snowflake - 2 years
  • Apache NiFi - 1 year

Preferred Environment

Snowflake, Data Build Tool (dbt), Apache Airflow, Apache NiFi, Spark, Python, SQL, Data Engineering, Amazon Web Services (AWS), Databricks

The most amazing...

...project I've delivered was a reusable data engineering framework that made ingestion, validation, and analytics much faster.

Work Experience

Principal Architect - Data & AI

2023 - 2025
Slalom
  • Led end-to-end delivery of modern data and AI platforms, partnering with senior stakeholders to define architecture, scope, and delivery approach.
  • Designed scalable batch and streaming lakehouse architectures using Snowflake, Databricks, AWS, and Azure, enabling analytics, machine learning, and AI-ready data products.
  • Shaped pre-sales solutions and reusable delivery assets across data, analytics, and AI initiatives, contributing to client proposals, internal accelerators, and practice knowledge-sharing.
Technologies: Snowflake, Databricks, Agentic AI, AI-assisted Development, AI Agents, Large Language Models (LLMs), RAG Architecture, Amazon Web Services (AWS), Microsoft Azure, AI Architecture, Data Architecture, Data Engineering, ETL, ETL for AI, Amazon Bedrock AgentCore

Managing Consultant of Data Engineering

2022 - 2023
ARQ Group
  • Built scalable and highly performant data systems, pipelines, and infrastructures from various raw data sources to deliver clear business insights.
  • Implemented and maintained data architectures built around automated ingestion, data security, compliance, and governance.
  • Designed batch and real-time analytical solutions and developed the prototype proofs of concept.
Technologies: Amazon Web Services (AWS), Apache Airflow, AWS Glue, Apache NiFi, AWS Step Functions, Business Intelligence (BI), Snowflake, Amazon DynamoDB, Redshift, Amazon S3 (AWS S3), AWS Lambda, AWS CloudFormation, Azure DevOps, Python, Data Warehousing, Data Warehouse Design, Query Optimization, Amazon RDS, Databricks, CI/CD Pipelines, Data Migration, dbt Cloud, Reports, PySpark, Microsoft SQL Server, Data Pipelines, Azure Databricks, Data Architecture, Business Analysis, Azure Data Factory (ADF), Large Language Models (LLMs), Claude Code, Banking & Finance, Google BigQuery

Data Engineering Team Lead

2017 - 2022
Afiniti
  • Led, trained, and mentored a team of 18 data engineers and analysts through the design and development of data pipelines, data integration, and preparation of insights and visualizations.
  • Collaborated with analytics and data science teams to create predictive modeling strategies, feature engineer better data attributes, and build automation tools, causing efficiencies and process improvements.
  • Implemented and monitored data flows from disparate sources, such as APIs, databases, cloud, or files, and created snapshots of collected facts.
  • Maintained and evaluated data quality and provided consistent and correct data to internal teams and systems.
  • Set up test environments for evaluating and bench-marking new tools and technologies, developed a proof of concept, and wrote unit tests.
Technologies: Python, SQL, Greenplum, PostgreSQL, Docker, R, ETL, ELT, Data Architecture, Data Warehousing, Business Intelligence (BI), Database Optimization, Data Engineering, Amazon Web Services (AWS), Business Intelligence (BI) Platforms, Azure, Azure SQL Databases, Google Cloud Platform (GCP), ETL Tools, Apache Airflow, Data Management, AWS Glue, AWS Step Functions, Snowflake, Redshift, Data Warehouse Design, Query Optimization, MySQL, Amazon RDS, Reports, PySpark, Microsoft SQL Server, Data Pipelines, Business Analysis, Banking & Finance

Data Software Engineer

2014 - 2017
Freelance
  • Extracted data from shipping providers, such as FedEx, UPS, and USPS, through RESTful APIs and loaded it into AWS for warehousing and reporting.
  • Optimized PostgreSQL database and functions, improving application performance by up to 50%.
  • Prepared and maintained customer relationship management (CRM) data in type 2 slowly changing dimension (SCD) form.
Technologies: Python, PostgreSQL, REST APIs, ETL, Data Warehousing, Data Marts, SQL, Database Optimization, Data Engineering, Amazon Web Services (AWS), ETL Tools, Data Management, AWS Glue, Data Warehouse Design, Query Optimization, MySQL, Amazon RDS, Transact-SQL (T-SQL), Reports, Data Pipelines, Business Analysis

Software Engineer

2012 - 2015
TRG Pvt Limited
  • Led a team of six software engineers through the development and implementation of Odoo in 50 textile factories across Pakistan, a project worth $2 million and sponsored by Chemonics International through USAID.
  • Developed requirement-specific software and tools, ranging from enterprise, web, and iOS mobile applications to open-source ERP modules and APIs.
  • Created and optimized reporting scripts in PostgreSQL.
  • Leveraged Selenium, Java, and Python to implement automated testing mechanisms, reducing post-production costs by 40%.
Technologies: Python, PostgreSQL, Business Intelligence (BI) Platforms, Query Optimization, MySQL, Reports, Data Pipelines, Business Analysis

Experience

Autopie

This dbt-based application converts raw data from multiple industry domains into standardized models for easy use in descriptive and predictive analysis and reporting. The application takes column mappings from a UI, converts them into JSON recipes, and consumes it in dbt macros to generate standardized datasets.

Unified Data Store

A three-layer data warehouse based on Data Vault 2.0 model, with ingestion, consolidation, and consumption layers. The data is ingested into Snowflake from various sources (RDBMS, CSV and JSON Files, REST, and SOAP APIs) using AWS Glue. DBT is used for consolidation and consumption. AWS Lambda, Amazon CloudFront, DynamoDB, and S3 are some other AWS services used in the project. Apache Airflow is used for workflow orchestration. Azure DevOps is used for CI/CD.

Education

2016 - 2016

Master's Degree in Engineering Management

University of Melbourne - Melbourne, Australia

2007 - 2011

Bachelor's Degree in Computer Science

Lahore University of Management Sciences - Lahore, Pakistan

Certifications

MAY 2026 - NOVEMBER 2026

Claude Certified Architect - Foundations

Anthropic

MARCH 2026 - MARCH 2028

Databricks Certified Generative AI Engineer Associate

Databricks

DECEMBER 2023 - DECEMBER 2027

SnowPro Core Certification

Snowflake

MAY 2023 - PRESENT

Microsoft Certified: Azure Fundamentals

Microsoft

APRIL 2023 - PRESENT

AWS Certified Solutions Architect – Associate

Amazon Web Services

DECEMBER 2022 - FEBRUARY 2028

Databricks Certified Data Engineer Associate

Databricks

DECEMBER 2022 - PRESENT

Databricks Certified Associate Developer for Apache Spark 3.0

Databricks

Skills

Libraries/APIs

REST APIs, PySpark

Tools

Apache Airflow, AWS Glue, dbt Cloud, Claude Code, Apache NiFi, GitLab, AWS Step Functions, AWS CloudFormation, AWS SDK, Boto 3, Claude, Claude Agent SDK

Languages

Snowflake, Python, SQL, R, Transact-SQL (T-SQL)

Paradigms

ETL, Azure DevOps, Business Intelligence (BI), REST

Platforms

Amazon Web Services (AWS), Databricks, Docker, Azure, Google Cloud Platform (GCP), AWS Lambda

Storage

PostgreSQL, Amazon S3 (AWS S3), MySQL, Data Pipelines, Greenplum, JSON, Redshift, Microsoft SQL Server, Azure SQL Databases, Amazon DynamoDB, RDBMS, Data Lakes

Frameworks

Spark, Jinja, Apache Spark

Industry Expertise

Banking & Finance

Other

Software Engineering, Data Build Tool (dbt), ELT, Data Architecture, Data Warehousing, Database Optimization, Data Marts, Data Engineering, ETL Tools, Data Management, Query Optimization, Reports, Azure Databricks, Large Language Models (LLMs), Business Intelligence (BI) Platforms, Data Warehouse Design, Amazon RDS, CI/CD Pipelines, Data Migration, Business Analysis, Azure Data Factory (ADF), Google BigQuery, SOAP, Data Vaults, Delta Lake, Microsoft Azure, Agentic AI, AI-assisted Development, AI Agents, RAG Architecture, AI Architecture, ETL for AI, Amazon Bedrock AgentCore, AI Engineering

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