Zohaib Aamir

- Founded Forticer to build enterprise data platforms and the AI agents that run on them
- Oversee delivery across all client engagements, setting architecture and quality standards with a named technical lead on each
- Build and run the sales funnel, from outbound and partnerships to proposals, contracts, and close
- Deliver data platforms on Azure, AWS and GCP with Databricks, Synapse, BigQuery

- Run 2-week AI and Data Readiness Audits for mid-market leaders: 12-point scorecard, gap analysis, 90-day roadmap, executive readout
- Advised organizations in energy, healthcare, industrial automation, manufacturing, e-commerce, and aviation on data and AI strategy
- Designed multi-cloud data architectures on Azure, AWS, and GCP
- Led data governance and quality programs that made data trusted e

- Led the Data and AI division, growing the team to ~50 engineers and project managers
- Shipped an agentic compliance system for a century-old German braking systems manufacturer, cutting turnaround from months to minutes
- Delivered a RAG formulation engine for a global collagen leader, cutting product formulation from days to minutes
- Set data strategy and AI roadmaps for embedded client teams

• Designed and optimized DBT models and Snowflake pipelines for aerospace supply chain analytics, enhancing KPI reporting.
• Developed AI-driven feature pipelines using Ollama and GPT, leading to personalized product recommendations.
• Built a document ingestion pipeline with Azure Document Intelligence, streamlining data processing and reducing manual prep.

• Designed and maintained a unified Google BigQuery data warehouse, integrating data from various internal and third-party platforms.
• Migrated legacy ETL pipelines to Cloud Composer (Airflow) for automated data ingestion from multiple sources.
• Developed real-time Looker dashboards for performance tracking and built a spam detection bot to enhance community engagement.

• Designed and deployed a scalable AWS-based Data Lake using S3, Redshift, Lambda, and Airflow, enhancing cryptocurrency rate prediction pipelines.
• Built real-time streaming pipelines with Kafka, Kinesis, and Spark, processing millions of events daily for sub-second model inference.
• Integrated external car auction APIs into Redshift, automating data ingestion and tripling availability for

- Scaled the Fintech Fuel wet stock monitoring platform from 1 pilot to 500+ gas stations across 3 national fuel retailers
- Owned Azure data pipelines ingesting real-time tank telemetry and sales transactions into Synapse
- Built Power BI reporting that fuel retailers used to detect stock loss and reconcile deliveries

• Designed and implemented a cloud-based industrial data pipeline for high-frequency IoT sensor data processing using Azure technologies.
• Streamlined ETL workflows for a national work order management system, achieving a 25% reduction in manual operations.
• Developed scalable ingestion pipelines for fuel stations, integrating telemetry and transactional data into Azure Synapse and Power BI

Issued Aug 2026

Issued Dec 2019

Issued Oct 2023 · Expired Oct 2024