Notebook of
Ayman Sulaiman
Senior Data Engineer · New York ⇄ UK · US & UK Citizen
I build scalable data pipelines, AI agents, and the deployment behind them, across the whole data stack: ingestion and streaming, warehouses and transformation, models and agents in production, and the monitoring that keeps it all running. Most recently I was a Software Engineer, Data at Doximity.
↳ trained as a chemist in Liverpool. Still running experiments, just on data now.
Career, as a pipeline
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- 2015–18
BSc Chemistry @ Univ. of Liverpool, UK
- BSc Chemistry (Hons).
- Where the "run the experiment, read the numbers" habit started.
- 2019–20
Data Science Cert. @ USC
- Post-grad certificate in Data Science & Analytics.
- 2020
Data Scientist @ Auby
- Podcast recommendations: query response times 97% faster with PySpark and SQL.
- Led an AWS → GCP migration: 20% faster processing, 15% lower cost.
- 2021–23
Data Engineer @ Hart
- 10M+ EHR records/day through SQL and Airflow.
- TensorFlow ranking model in production: ICD-10 coding accuracy to 80%.
- 2023
Data Engineer @ Loyal Health
- Batch + streaming health pipelines on Databricks, Spark, and Kafka.
- 75% more cloud data throughput.
- 2024
Data Engineer @ Pythia Labs
- ETL feeding generative AI protein-modeling workflows.
- 2024–26
Software Engineer, Data @ Doximity
- Snowflake → Salesforce sync: 8 hours → 45 minutes.
- Built an internal AI code review agent (Claude API + MCP).
- next
Senior Data Engineer @ ?
- Status: running. Looking for my next team.
- Say hi on LinkedIn →
Skills
Healthcare interoperability: FHIR (R4), HL7v2, X12 EDI (835/837), EHR integrations, clinical & claims data (ICD-10, RxNorm), HIPAA compliance.
Integration & data pipelines: Python, REST APIs & OAuth, batch & streaming pipelines (Kafka, Airflow), error handling, retries & failure recovery, schema evolution, Snowflake & BigQuery, AWS & GCP.
Reliability & collaboration: monitoring, alerting & observability (Grafana), incident response & on-call, root-cause analysis, data quality validation, integration standards & documentation, working with product and non-technical stakeholders.
Experience
Career Break, Family Caregiving · US & UK · Jun 2026 – Oct 2026
- Cared for aging grandparents while continuing professional development. Designed and shipped two AI/data projects (Chem MLOps and AI Health Harness).
Software Engineer, Data, Doximity · San Francisco, CA / Remote · Jun 2024 – Jun 2026
- Cut a critical Snowflake-to-Salesforce data sync from 8 hours to 45 minutes in production by rebuilding the transformation layer with Python concurrency.
- Built and shipped an internal AI code review agent (Python, Claude API, MCP integrations with Jira, Snowflake, Glean, and GitHub) for automated first-pass PR reviews.
- Redesigned the dbt models powering the client-facing portal, cutting runtime from several hours to ~30 minutes and eliminating recurring delays in IQVIA prescription-rate data delivery.
- Led the redesign of the ad events streaming pipeline (Kafka to Snowflake, tens of thousands of events per minute), migrating transformations off legacy Ruby into modular, version-controlled Snowflake SQL.
Data Engineer, Pythia Labs · Los Angeles, CA · Jan 2024 – Apr 2024
- Built and optimized Python ETL pipelines on Pythia Labs' custom orchestration framework, feeding generative AI protein-modeling workflows.
- Deployed new ETL tooling that materially reduced the modeling team's data processing time.
- Partnered with Computational Biology and AI teams to improve training-data reliability and accuracy.
Data Engineer, Loyal Health · Atlanta, GA / Remote · May 2023 – Oct 2023
- Engineered batch and streaming health data pipelines with Databricks, Spark, and Kafka, improving real-time processing and reporting by 50%.
- Orchestrated Delta Live Tables in Azure to meet HIPAA compliance requirements across patient care workflows.
- Drove a 75% increase in cloud data throughput by resolving Databricks warehousing bottlenecks.
- Served as the data team's point person with clinical and product stakeholders: gathered requirements, scoped pipeline changes, and coordinated cross-team delivery.
Data Engineer, Hart · Irvine, CA / Remote · Aug 2021 – Jan 2023
- Led production deployment of a TensorFlow ranking model behind a monitored FastAPI service wired into a live ETL pipeline, improving ICD-10 coding accuracy to 80%.
- Integrated spaCy biomedical NER into a Scala/Postgres ETL pipeline via FastAPI, improving raw EHR data categorization accuracy up to 60%.
- Developed and tested a Scala/PostgreSQL ETL pipeline for categorizing EHR data across hospital systems.
- Streamlined 10M+ EHR records daily with advanced SQL and version-controlled Airflow DAGs deployed via CI.
Data Scientist, Auby · Los Angeles, CA / Remote · Jan 2020 – Dec 2020
- Engineered and productized a podcast recommendation system on AWS/GCP, accelerating query response times by 97% with PySpark and SQL.
- Built a Dockerized, serverless iTunes ETL scraper, increasing user satisfaction by 30%.
- Led an AWS-to-GCP migration, improving data processing by 20% and reducing costs by 15%.
Education
- Data Science & Analytics Post-Grad Certificate, University of Southern California
- BSc Chemistry (Hons), The University of Liverpool