MANOS PALAILOGOS

Data & AI Engineer

Remote, Madrid, ES.

Profile

An end-to-end Data Enabler helping business and AI teams scale faster while protecting profit margins through observable systems.
Rooted in Data & Analytics Engineering, AI systems, BI, and Product Operations, I design cloud-native data infrastructures that power
digital products, automate decisions, and operationalize AI and analytics at scale.
Engineering clarity. Accelerating AI maturity. Minimizing time-to-insight.

Work

UDIO

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Freelance Data Engineer

Remote, New York, US

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Summary

Optimized high-scale ingestion of music metadata and designed a hybrid event-aware ELT system to produce ML-ready analytical schemas.

Highlights

Optimized the ingestion of massive DDEX XML messages of music metadata, arriving from Major Label partners, ensuring high-scale data handling efficiency.

Designed a hybrid event-aware ELT ingestion system to quickly generate ML-ready analytical schemas in production.

Refactored legacy parsing logic with serverless options, significantly improving data reliability while reducing processing costs.

HOOK MUSIC

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Interim Lead Data Engineer (freelance)

Remote, New York, US

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Contractor

Summary

Led the design and implementation of a greenfield data lakehouse and event streaming system, providing scalable Product KPI monitoring and streamlined ML training pipelines.

Highlights

Designed and built a greenfield Data Lakehouse from scratch, implementing a medallion-inspired lambda data architecture to decouple raw user signals, remove noise, and provide scalable Product KPI monitoring.

Deployed a central Airflow environment to standardize all backend batch processes, enabling automations in reporting, streamlining ML training pipelines, and reducing deployment friction.

Scaffolded a Kafka-based event processing system to capture user behaviors, shortening feedback loops for important Product iterations.

WARNER CHAPPELL SPAIN

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Income Tracking BI Engineer

Madrid, Madrid, Spain

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Summary

Leveraged Snowflake and Python workflows to track blocked revenue and automate financial processes, bridging local and global tech operations.

Highlights

Leveraged hub schema models in Snowflake to draft a master BI table, effectively tracking blocked revenue and potential conflicts, bridging local business and global tech operations through a single Tableau board.

Engineered Python-based workflows, integrating data with internal tools (Monday.com API), to replace manual spreadsheet processes and reduce operational overhead by 40% for finance and legal teams.

MORO TECHNOLOGY

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Data Engineering Consultant

Remote, N/A, N/A

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Summary

Delivered an AI-backed BI competitor analysis project, improving time-to-insight and integrating custom sentiment models for a large automobile client.

Highlights

Reduced Time-to-Insight from 0 to daily for an end-to-end large-scale BI competitor analysis AI-backed project, serving a major automobile client.

Collaborated closely with the Data Science team to adapt training on a variety of external sources and integrated custom sentiment models into the analytics pipeline, ensuring availability and accuracy in production.

Deployed multiple web-scrapers in production to improve confidence on final verifications for web analytics.

ORFIUM

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Technical PM & Analyst

Athens, Attica, Greece

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Summary

Automated manual copyright matching workflows and developed SQL models to monitor metadata discrepancies, significantly improving operational velocity and revenue recovery.

Highlights

Automated manual copyright matching workflows, improving operational velocity by 300% within 3 months.

Developed SQL-models and dashboards to closely monitor metadata discrepancies in copyright claims, directly impacting revenue recovery.

Education

POMPEU FABRA UNIVERSITY

Barcelona, Catalonia, Spain
M.Sc. Intelligent AI Systems & Music

Courses

Big Data

NLP and LLMs

Recommendation Systems

UNIVERSITY OF PATRAS

Patras, Western Greece, Greece
B.Sc. Physics

Courses

Music Genre Classification with CNNs (Deep Learning)

Skills

Leadership

Team mentorship, Product-Driven Data Strategy, OKR definition, Technical Roadmap Planning, Code Review & Standards, Cloud Cost Optimizations.

Data Infrastructure

Data Modeling, Event-driven architectures, Kafka, Flink, ClickHouse, ETL & ELT patterns, Warehousing, Snowflake, Dremio, BigQuery, Open-table format Lakehouses, Iceberg, Delta, Duck, Transformation & Ingestion, dbt, dlt-hub, Fivetran, Orchestration, Airflow, Kestra, n8n, Observability, Grafana, Prometheus, Datadog.

Databases

Postgres, pgvector, MongoDB, DynamoDB, Pinecone, Redis cache/broker.

Cloud & Platform

AWS (S3, EMR, ECS, EKS, Lambda, Glue, Step Functions etc.), GCP, Docker containerization, Kubernetes, CI/CD (GitHub Actions, Jenkins), Infrastructure-as-Code (Terraform), Linux/bash.

AI Systems & MLOps

LLM Frameworks (LangChain, LlamaIndex, HuggingFace), NLP (spaCy, nltk, Rasa), Prompt Engineering, Agentic Workflows, Model Deployment Lifecycle (MLflow, SageMaker), FastAPI serving, Streamlit projections, Recommendation Systems (graph networks, sequential etc.), Claude Code (skills, agents, MCPs), AI compliance & NeMo Guardrails.

Programming & Scripting

Python, SQL/NoSQL, Go, Typescript, React.