Saad Ali

Senior Software/Data Engineer

Spread Gmbh • Temps plein

Apr 2023 - Present • 3 yrs 1 mo

✔ Joined as the founding member of the data team, defining data architecture and engineering practices for an automotive engineering intelligence platform ✔ Designed and built a graph ingestion pipeline mapping heterogeneous OEM data formats (XML and others) into a unified Neo4j graph database via a configuration-driven transformation layer ✔ Led data migration from ArangoDB to Neo4j, owning schema remapping, transformation, and post-migration validation ✔ Co-built an in-house ingestion tool in Python, later rewritten in Rust for performance, exposing a flexible API for data normalization and graph mapping ✔ Implemented preprocessing workflows using AWS Athena and S3 for raw OEM data handling prior to ingestion ✔ Migrated workflow orchestration to Kestra, improving pipeline reliability and observability ✔ Served graph data to downstream consumers via GraphQL ✔ Selected as one of top senior engineers to own the data ingestion tool under the company's Community of Practice structure — responsible for its roadmap, quality, and evolution while coordinating contributions from engineers across teams Technologies: Python, Rust, Neo4j, ArangoDB, GraphQL, AWS Athena, AWS S3, Kestra, XML processing, graph data modeling

Senior Data Engineer

Delivery Hero • Temps plein

May 2022 - Apr 2023 • 11 mos

✔ Designed and maintained large-scale data pipelines on GCP using BigQuery, Dataflow, and Pub/Sub to support real-time and batch data processing ✔ Built and operated backend data infrastructure serving thousands of requests per minute for recommendation systems, leveraging Kubernetes and FastAPI ✔ Contributed to ML-adjacent data workflows on Vertex AI, owning data preparation and feature delivery pipelines for model serving ✔ Managed infrastructure as code using Terraform, owning cloud resource provisioning and environment consistency ✔ Defined and implemented data ingestion strategies across diverse source types, maintaining pipeline observability and reliability at scale ✔ Collaborated cross-functionally with ML and product engineering teams to align data platform capabilities with business needs Technologies: Python, PostgreSQL, Apache Airflow, BigQuery, Dataflow, Pub/Sub, Vertex AI, Kubernetes, FastAPI, Terraform, GCP

Senior Software/Data Engineer

Arbisoft • Temps plein

Sep 2021 - Apr 2022 • 7 mos

✔ Led design and delivery of scalable ETL pipelines and ingestion strategies for multi-source, high-volume data ✔ Took ownership of data infrastructure decisions previously handled by senior engineers, driving pipeline reliability and query performance improvements ✔ Onboarded and mentored junior engineers, conducting code reviews and delegating tasks aligned with team capacity ✔ Continued to deepen expertise across the AWS data ecosystem while owning end-to-end pipeline development Technologies: Python, PostgreSQL, Apache Airflow, SQLAlchemy, AWS RDS, AWS Redshift, AWS EC2