Ektor Makridis
Staff Data Engineer
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolEktor Makridis is a Staff Data Engineer based in London with 11 years of experience building high-throughput data platforms and backend services for analytics and reporting. He has a strong mathematical background and a pragmatic engineering style, having architected Databricks Lakehouse ETL pipelines and Kafka Streams applications that process millions of transactions daily. His work spans cost-conscious infrastructure improvements—such as query monitoring for Snowflake optimization and automated EMR cluster scaling that cut costs—and hands-on cluster ops with HDFS, Spark and YARN. Ektor pairs backend API and ETL design (Django REST, REST endpoints for visualization) with observability and CI/CD automation using Terraform, ECS, CircleCI and Grafana/Prometheus/Loki. He’s comfortable translating complex data requirements into production-ready, scalable systems and often focuses on measurable operational gains rather than purely theoretical optimizations.
11 years of coding experience
9 years of employment as a software developer
Computer Science BSc Hons, Computer Science BSc Hons at The University of Manchester
Github Skills (23)
python10
data-science10
statistics10
machine-learning10
automation10
data-analysis10
apache9
data-engineering9
feature-extraction9
scheduler9
workflow-engine9
scikit-learn9
mlops9
etl9
orchestration9
Programming languages (2)
Github contributions (5)
ektormak/Lyssandra
Jun 2016 - Jan 2019
A collection of Python tools for feature extraction and image classification using Sparse Coding algorithms.
Contributions:25 commits, 21 pushes, 1 comment in 2 years 7 months
feature-extractionimage-classificationpython
ektormak/learn2learn
Jan 2018 - Mar 2019
Contributions:15 commits, 13 pushes, 1 branch in 1 year 1 month
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