# Fabian Menges

> Software Engineer

Location: Brooklyn, New York, United States
Profile: https://flows.cv/fabianmenges

## Work Experience
### Software Engineer @ Stack AV
Jan 2026 – Present | Brooklyn, NY

### Software Architect @ Motif
Jan 2023 – Jan 2026 | Brooklyn, NY
Tech lead for designing and building our core internal and external facing services APIs. REST, GRPC, GraphQL.


Recursive graph queries. Large payload variety. CDN (cloudfront) offloading.  Query optimizations.

### Staff Software Engineer @ Twitter
Jan 2019 – Jan 2023 | New York
Tech Lead for Twitter's Real Time Analytics team. The custom analytics platform backs all systems requiring real-time analytics (e.g. https://analytics.twitter.com).
Offline systems (including Machine Learning applications) requiring analytics are also built on top of our platform. 

It consists of cross cloud stream aggregation pipelines (Kafka, PubSub, Beam/Dataflow).
A custom analytics store on top of Bigtable and Bigquery.
Highly distributed serving infrastructure, which includes custom OLAP systems and SQL frontends.

I'm one of the top contributers to all and designed some of the systems. 

Scale of the platform: 
Aggregating 30 million events per second. 
Processing ~3PB of data a day. 
Serving 100,000 queries per second at 300ms p99 latency.
Storing > 1500 definitions of datapoints / metrics.
Serving > 50,000 analytical queries (rolled up/re-aggregated data, spanning multiple tables, pivoted, etc) at < 1s p99 latency.

### Software Engineer @ Twitter
Jan 2017 – Jan 2019 | New York
Part of Twitter's Ads Analytics and Ads Data Platform Team.
We rebuilt all of Twitter's ads analytics infrastructure and software on top of Google Cloud. 

I built core processing systems for our platform using Scalding (Hadoop), Beam/Dataflow, BigQuery, Bigtable in various formats, thrift, avro, parquet...  

I migrated Twitter's core ads analytics datasets to GCP, specifically to BigQuery and Bigtable (> 4PB of data). 

All of Twitter's external Ads Analytics APIs are build on top of this technology. 
(e.g. ads.twitter.com) is backed by our analytics platform.

I presented at Google Next 2018: https://youtu.be/sitnQxyejUg
I am an Apache Committer of Apache Superset https://superset.apache.org/

### Software Engineer @ Twitter
Jan 2015 – Jan 2017 | New York, New York, United States
Part of Twitter's Ads Cloud infrastructure team. Helped to build out a Twitter compatible data center on top of AWS.

### Vice President (Software Engineer) @ The Blackstone Group
Jan 2012 – Jan 2015 | New York
Tech lead (Software Engineer) of Blackstone's next generation fund accounting software based on a dynamic real-time calculation framework. 

Full stack development: Database layer,  Middle tier processing (.net) and front end engineering (ASP.NET MVC) and JavaScript 

Heavily impacted reporting concepts for fund performance reporting, e.g. account statements.

Designed and implemented Blackstone's public API (REST, OAuth2) as well as internal APIs (RPC) for generic data retrieval and manipulation.

### Software Engineer @ RobustLinks
Jan 2011 – Jan 2012
Java developer, designing algorithms

### Assitant Research Scientist @ New York University
Jan 2010 – Jan 2011 | New York,NY
I was working on genome assembly and basecalling at the NYU Bioinformatics lab (part of the Courant Institute of Mathematical Sciences)  
http://bioinformatics.nyu.edu/ under Bud Mishra, focusing on the engineering aspects, such as process parallelization, cloud computing and hardware acceleration.

### Teaching assistant @ TU Dresden
Jan 2005 – Jan 2006
TA for the class "Introduction to the C programming language" in the Electrical Engineering department. 

http://www.et.tu-dresden.de/


## Education
### Dipl. Ing. (Master) Electrical Engineering in VLSI (FPGA computing), Robotics, Control Theory, Process Control
Technische Universität Dresden

### non-degree in Computer Science, Agent Based Modeling, Simulations, Genomics
New York University


## Contact & Social
- LinkedIn: https://linkedin.com/in/fabian-menges-94642940

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Source: https://flows.cv/fabianmenges
JSON Resume: https://flows.cv/fabianmenges/resume.json
Last updated: 2026-04-13