Ahmad Abdel-Rahman · Solutions Engineer

ahmad_db=# SELECT * FROM

who_i_am;

Start with the person.

Before the resume, here's who you'd actually be working with.

I'm a proud husband, which is my favorite full-time job.
I'm a music nerd. I spend my weekends connecting with local artists and digging into music I'm passionate about.
I'm a builder. Tech runs through my everyday life: Python scrapers that surface new artists for me, AI agents that handle my research and busywork, little scripts for every recurring annoyance. If I do something twice, I automate it.

(3 rows) · Time: 0.8 ms

Ahmad interviewing two artists in a vintage record and clothing shop — talking_music_with_local_artists.jpg

Ahmad and his wife in DUMBO, Brooklyn, with the Manhattan Bridge behind them — my_favorite_full_time_job.jpg

builder_mode.mp4

ahmad_db=# SELECT * FROM working_style;

I translate, then I build.

Five years at the USPTO taught me to explain deeply technical subject matter to lawyers, inventors, and executives, clearly and under pressure.
I genuinely enjoy discovery. The best demos I've given started with listening instead of a slide deck.
I don't hand-wave the technical part. I've run the pipelines, owned the migrations, and carried the pager, so my architecture recommendations come from production experience rather than datasheets.
Comfortable in front of C-suite and comfortable in the terminal, usually in the same meeting.

(4 rows)

Front page of US Patent 10,449,634 B2, examined by Ahmad Abdel-Rahman as Assistant Examiner — us_patent_10449634_b2.pdf · see: assistant_examiner · 1 of 40 granted

ahmad_db=# SELECT metric, value, source FROM

the_record;

Numbers that held up.

Quota, revenue, and platform outcomes I can walk you through line by line.

the_record · results LIVE

#	metric	value	source
1	Production quota, FY2018-22	0%	uspto
2	Pipeline throughput gain across production systems	0%	cvs_health
3	Runtime reduction on enterprise cloud migration, zero data loss	0%	cvs_health
4	Annual revenue growth contributed	0%	findur_presales
5	Enterprise client stakeholders managed as technical liaison	0+	findur
6	Business units coordinated on a single enterprise migration	0	cvs_health
7	Years translating deep tech for lawyers, inventors & execs	0	uspto
8	Certifications: GCP Professional DE · Databricks Associate	0	verified

(8 rows) · Time: 14.2 ms

2018

USPTO

2023

FINDUR

2024

CVS HEALTH

YOUR TEAM

ahmad_db=# SELECT * FROM

the_work;

From examining patents to running the platforms enterprises bet on.

I took an unusual path: I learned to communicate under pressure first, sell second, and build third. Most SEs go the other way, and it shows in my demos.

WHERE company = 'cvs_health' LIVE

CVS Health

Data Engineer · Sep 2024 to Present

Primary technical lead on an enterprise Teradata → GCP migration, coordinating requirements, risk, and sequencing across 8 business units to deliver a 20% runtime reduction with zero data loss.
Partnered with senior leadership to ship production data products powering predictive modeling, Vertex AI analytics, and C-suite dashboards.
Automated ETL/ELT with Apache Airflow and Informatica, lifting pipeline throughput 30% across production systems.
Established data quality and governance controls for regulated, auditable delivery to every downstream consumer.

(4 rows)

WHERE company = 'findur'

Findur

Sales Engineer · Jul 2023 to Aug 2024

Owned the technical pre-sales cycle end-to-end: structured discovery, tailored architectures, and live demos to C-suite and technical audiences, contributing to 15% annual revenue growth.
Led proof-of-concept engagements that differentiated the product and moved enterprise opportunities through the funnel to close.
Built Python pipelines for user-behavior analytics that drove a 10% engagement lift and informed roadmap priorities.
Primary technical liaison between engineering and 10+ enterprise stakeholders across multi-month cycles.

(4 rows)

WHERE company = 'uspto'

United States Patent & Trademark Office

Patent Analyst · Jun 2018 to Jul 2023

Primary point of contact for patent attorneys, agents, and inventors, presenting findings and guiding stakeholders toward patentable subject matter at 125% of production quota (FY2018-22).
Authored formal Office Actions translating nuanced technical and legal analysis into clear, actionable guidance for Fortune 500 IP teams.
Five years of consultative, high-stakes communication. It's the same muscle technical pre-sales runs on.

(3 rows)

ahmad_db=# SELECT category, tools FROM

toolbelt;

Tools I've actually shipped with.

Every tool below has shipped something real: an enterprise migration, a live demo, or a weekend build.

toolbelt · results

category	tools
cloud_and_data	GCPBigQueryDataprocDatabricksVertex AIAzure Data FactoryMicrosoft FabricTeradata
pipelines	Apache AirflowInformaticaETL / ELT
ai_and_analytics	AI/ML PlatformsPredictive ModelingLLM ToolingExecutive Dashboards
languages	PythonSQL
presales_craft	Technical DiscoverySolution ArchitectureProof of ConceptLive DemosExecutive Presentations
certifications	GCP Professional Data EngineerDatabricks Associate Data Engineer

(6 rows) · Time: 2.1 ms

ahmad_db=# EXPLAIN ANALYZE SELECT trust FROM

deal;

I run deals like I run pipelines.

Messy inputs, clean outputs, nothing silently dropped. Discovery extracts what actually matters, architecture turns it into one clear answer, and a live proof on their own data is what loads the trust. Then it runs on a schedule: renewals.

ambiguous asks → extract() → transform() → load() → ✓ trust

query plan LIVE

                 QUERY PLAN
---------------------------------------------
 Deliver  (renewals follow)
   -> Prove  (live demo, their own data)
      -> Simplify  (one clear answer)
         -> Discover  (what matters)
            Scan on requirements
            (rows=50, loose_ends=0)

 Planning:  one good discovery call
 Execution: faster than you'd think
(1 row: trust)

Start with the person.

I translate, then I build.

Numbers that held up.

From examining patents to running the platforms enterprises bet on.

Tools I've actually shipped with.

I run deals like I run pipelines.

Let's Connect.