b-man

  Location: EST
  Remote: Yes
  Willing to relocate: Yes (US preferred)
  Technologies: PostgreSQL (partitioning, performance, OLTP architecture), SQL, F#, C#, C, Java, Clojure, Common Lisp, Scheme, Emacs Lisp, Python, Ruby, AWS, Linux
  Email: ebellani at gmail

I work on high-throughput database systems, especially when they’ve grown into a state where migrations, performance, or schema design have become limiting factors.

Recent work, using AI extensively:

- maintain a chat bot that can use psychometrics to adapt messages. - construct/evaluate a generic data warehouse based on deep knowlodge of AWS and DBMS

Weirly enough, I got an anthropic certification after all that.

Open to consulting or full-time roles where expertise on data is core to the business and performance/architecture matters.

Résumé: https://www.linkedin.com/in/eduardo-bellani/

This particular system is predicated on people actually doing the homework.

There were threats on 'cheating', but the system is failing at detecting the new 'cheating' mechanism.

I use quotes because what is being cheated at is the certification, not education. Mixing them into the same pipeline was always a mistake.

BTW: A tutor is a person. An AI is a search engine.

if you are searching for something similar but with more meat: https://ebellani.github.io/blog/2026/all-you-need-is-postgre...

your job page is dead, btw

  Location: Brazil (UTC-3, overlaps US hours)
  Remote: Yes
  Willing to Relocate: Yes (US preferred)
  Technologies: SQL Server, DBT, SQL Mesh, PostgreSQL, SQL, OLTP & OLAP, cloud optimization, query optimization, large-table migrations, F#, Clojure, Python, C#, C, Java, Ruby, Rust, Prolog, OCaml, Haskell
  Email: ebellani at gmail

I specialize in rescuing and scaling PostgreSQL systems that have become bottlenecks due to schema debt, growth, or operational complexity. Recent work: re-architected two multi-terabyte OLTP tables (~2TB and ~1TB) handling 200+ writes/sec, improving scalability and reducing application-level complexity. My work focuses on high-risk database migrations, dangerous schema remediation, hot-path optimization, and making existing systems scale without rewriting the product.

Open to consulting or full-time roles where data is central and performance matters.

related: https://pgdog.dev/blog/scaling-postgres-listen-notify