whoami

Nassos Anagnostopoulos

Lead Data Engineer at EveryPay, Athens — I design the cloud pipelines that move a fintech's data: streaming ingestion, AWS warehousing, and the platform architecture behind it. Also studying for an M.S. in AI at Georgia Tech.

View my work ↓
fig. 01 — production data pipeline streaming
4+
years building data platforms
24/7
production pipelines in fintech
AWS
end-to-end cloud stack
M.S. AI
Georgia Tech · in progress

career.log

Work / Experience

Lead Data Engineer

current

EveryPay · Athens, Greece · Jan 2026 — Present

  • Leading a team of 3 data engineers — technical guidance, code reviews, and delivery of high-quality data solutions aligned with business objectives.
  • Driving architectural decisions across the data platform, evaluating and adopting new technologies to improve scalability, reliability, and performance of the warehouse.
  • Partnering with stakeholders and cross-functional teams to translate business requirements into technical solutions, and managing priorities for timely delivery.

Data Engineer

EveryPay · Athens, Greece · Aug 2023 — Jan 2026

  • Designed and developed cloud ETL pipelines on AWS, integrating diverse sources into a resilient warehouse analyzing hundreds of thousands of daily transactions.
  • Ingested and processed streaming and transactional data with Spark, Kinesis, Redshift, S3, and Python, powering views consumed by BI tools like Metabase.
  • Built CI/CD pipelines with GitHub, increasing development efficiency through automated testing.

Junior Data Engineer

Netcompany-Intrasoft · Athens, Greece · Aug 2022 — Aug 2023

  • Built and optimized big-data pipelines and architectures using Python, SQL, bash, and Apache Airflow.
  • Worked agile with direct client engagement, sharpening time management and communication for effective solution delivery.
  • Served as 24/7 support/standby engineer for critical pipelines — proactively resolving issues and minimizing downtime.

Data Engineer Intern

Netcompany-Intrasoft · Athens, Greece · Mar 2022 — Aug 2022

  • Hands-on internship focused on ETL processes and big-data pipelines with Python, SQL, and Apache Airflow.

education.sql

Education

Georgia Institute of Technology

in progress

M.S. in Computer Science (OMSCS)

Atlanta, GA, USA (Online) · Jan 2026 — Present

Specialization in Artificial Intelligence — pursuing graduate-level AI coursework alongside a full-time lead engineering role.

University of Athens

completed

B.S. in Computer Science

Dept. of Informatics & Telecommunications · Nov 2018 — Sept 2022 · GPA 7.78/10

Dual specializations: Data Management & Knowledge and Software.

projects/

Notable / Projects

The Pac-Man Projects — AI

UC Berkeley CS188 · graded 100/100

My implementations of Berkeley's classic AI projects, applying informed state-space search, constraint satisfaction, and knowledge representation to make Pac-Man play itself. Completed for the AI course at UoA under Dr. Manolis Koubarakis.

Python 3.6A* searchCSPknowledge repr.

Vaccine Monitor App

UoA Systems Programming · graded 100/100

A client / multi-server monitoring system built in C++ with raw sockets and threads. All data structures — linked lists, skip lists, Bloom filters — implemented from scratch, plus a bash generator for randomized test data. Graded by Dr. Alexandros Ntoulas.

C++socketsthreadsBloom filtersskip listsbash

stack/

Technical / Skills

languages/ Python SQL C / C++ Bash
big_data/ Spark Hadoop Airflow
aws/ S3 Glue Redshift Lambda Kinesis Athena
databases/ MySQL MariaDB MongoDB Hive
devops/ Docker Git CI/CD
bi_&_os/ Metabase Linux

psql -d nassos_cv

Query / My CV

My CV, loaded into a live console. Run real SQL against it — click an example or write your own.

nassos_cv=# interactive session
psql: connected to database "nassos_cv" · 6 tables loaded · type HELP; for syntax

beyond_work.md

🎾 tennis  ·  🏀 basketball  ·  ✈️ traveling  ·  ⛺ camping  ·  🧪 new tech  ·  🗣 languages GR native / EN C2 / FR B1

./connect.sh

Let's build something
that scales.

Open to interesting problems, collaborations, and conversations about data platforms, streaming, and AI.