Open to opportunities

Uzair Ahmad

@uzairahmad4

Message

Senior Data Engineer building privacy-compliant, partner-facing GCP data platforms and real-time fraud systems.

Zimbabwe

Message

What I'm looking for

I’m looking for a role where I can own production data platforms on GCP, build privacy-compliant pipelines and real-time ML systems, and lead technical execution end-to-end—partner-facing, automated, and resilient by design.

I’m a Senior Data Engineer with 10+ years of experience designing, building, and operating production-scale data platforms across AdTech, FinTech, and fraud prevention domains. I specialize in GCP (Cloud Composer/Airflow, BigQuery, GCS), Infrastructure as Code with Terraform, and distributed processing with PySpark/Spark. I’m especially focused on partner-facing integrations, privacy-compliant pipelines, and real-time ML systems that stay reliable under real-world load.

I’ve led high-impact teams and delivered measurable outcomes—most notably leading a 10-person data science team whose fraud models improved fraud capture rates by 30%, cut false positives by 20%, and reduced manual investigation workload by 50%. I architect multi-region platforms, enforce data quality at scale, and build self-healing pipelines that adapt as business needs evolve. I also actively leverage AI coding tools (Claude Code, prompt engineering) to accelerate pipeline development while keeping quality high as a lean contributor.

In my recent roles, I’ve built and hardened systems like the PMP Unified Reporting Platform for AdTech using unified schemas and strict BigQuery enforcement, plus privacy pipelines for consumer opt-out signal propagation. I’ve also expanded EU-region data infrastructure with data residency compliance, implemented Apache Iceberg integration as a strategic storage direction, and delivered FinTech solutions such as automated billing analytics, identity network graphs for fraud/KYC, and sub-10ms rule-based monitoring APIs. My professional ethos is simple: automate the hard parts, design for correctness and auditability, and make systems resilient for both engineers and business stakeholders.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Infillion

Apr 2025 - Present (1 year 3 months)

Designed and built GCP-based data pipelines and partner integrations for AdTech reporting, privacy opt-out propagation, and Salesforce CRM data delivery into BigQuery and GCS. Orchestrated scheduled Airflow/Cloud Composer workflows, enforced schema/data quality, supported backfills/re-runs, and managed pipeline infrastructure via Terraform.

GCP Cloud Composer Airflow BigQuery Python Terraform gRPC Protobuf SQL Salesforce API

Data Engineer – Platform

Motive

Sep 2023 - Apr 2025 (1 year 7 months)

Led the expansion of the EU data platform with multi-region support and data residency compliance, including region-aware routing and automated Snowflake/Redash provisioning. Evaluated Apache Iceberg as a TableAPI storage backend and built priority-tiered AWS scheduling for Airflow DAGs to improve SLA reliability.

Airflow Snowflake Terraform GitHub Actions Tekton Redash AWS Kubernetes Apache Iceberg Python Spark

Senior Data Engineer

Bureau Inc

Mar 2022 - Sep 2023 (1 year 6 months)

Built an automated billing analytics service with Airflow/DBT pipelines that aggregated billable events, generated invoices via Lago, and loaded invoiced data into Amazon Redshift. Developed identity graph pipelines for fraud and KYC use cases and implemented a real-time rule-based monitoring API using ClickHouse and Kafka.

Airflow DBT Python Amazon Redshift Kafka Clickhouse Flask Networkx Neo4j Airbyte

Data Scientist / Lead

i2c Inc

Mar 2016 - Mar 2022 (6 years)

Led a team of 10+ data scientists developing custom real-time ML fraud detection models for multiple enterprise clients, including end-to-end model development and production deployment. Built scalable Spark-based training pipelines and real-time prediction serving using PySpark/MLlib, Scala, Kafka, and MLeap, along with monitoring and safe update methodologies.

PySpark MLlib scikit learn Kafka PostgreSQL MySQL Pandas Scala MLeap Spark Model Monitoring

Education

Degrees, certifications, and relevant coursework

University of Central Punjab

Bachelor of Science, Computer Science

Grade: CGPA: 3.75/4.0

Earned a B.S. in Computer Science from the University of Central Punjab, covering OOP, machine learning, Android development, databases, and software engineering.