Nikos Anagnostopoulos
Verified Expert in Engineering
Data and Analytics Consultant and Developer
Athens, Central Athens, Greece
Toptal member since March 18, 2026
Nikos is a data and analytics engineering consultant with a comprehensive understanding of the data lifecycle, encompassing engineering, advanced analytics, and machine learning. He has worked with large insurance and reinsurance clients like Swiss Re and some of Greece's largest banks. Nikos specializes in Python, PySpark, and Palantir Foundry, having worked as a senior forward deployed engineer for official Palantir partner consulting companies.
Portfolio
Experience
- Python - 5 years
- PySpark - 3 years
- Palantir AIP - 3 years
- Palantir - 3 years
- Palantir Foundry - 3 years
- Palantir AIP Logic - 3 years
- Palantir AIP Agent Studio - 3 years
- Palantir Foundry Pipeline Builder - 3 years
Preferred Environment
Slack, Teams, Linux, MacOS, Windows, Google, Outlook, WhatsApp
The most amazing...
...thing I've developed is a WhatsApp-like front-end wrapper on top of WAHA servers that drove sales people to convert leads with 5x conversion rates.
Work Experience
Senior Forward Deployed Engineer
10x Partners
- Architected e2e conversion models, integrating CRM data with LLM-processed audio/video transcripts, automating insights via Foundry apps and CRM writeback.
- Engineered high-scale pipelines and LLM workflows, while leading technical onboarding to enable the client’s internal team for long-term ownership.
- Automated the e2e "lead-to-client" lifecycle, integrating contract ingestion and order generation via Foundry workshop human-in-the-loop applications and code repo pipelines.
- Deployed an enterprise OKR framework, increasing operational actionability by 25% through centralized performance monitoring and data transparency.
Senior Data Engineer
EPAM Systems
- Designed and deployed complex Foundry pipelines and operational applications, enabling cross-departmental data access.
- Improved data ingestion workflows by 25%, processing over 3 terabytes of data daily across critical systems.
- Bridged communications between business users and technical teams to deliver timely, impactful data solutions.
Senior Data Engineer
D|one
- Built optimized data pipelines for a global insurance client, reducing processing time by 15% and ensuring 99.9% uptime across 2-terabyte per day workflows.
- Maintained data integrity across lakehouses with 100+ million records. Led full-cycle delivery from integration to business insights.
- Bridged communications between business users and technical teams to deliver timely, impactful data solutions.
Data Scientist
EY
- Developed probability of default (PD), loss given default (LGD), and cure rate models in line with European Central Bank (ECB) standards, improving model accuracy by 10%.
- Conducted extensive feature engineering using a large volume of data from multiple sources, including CRM, transactions, and external ratings, improving model accuracy by 10%.
- Migrated code to develop banking ML models from proprietary software to open-source languages and frameworks, mainly Scikit and Python. Ensured enablement and buy-in from C-suite stakeholders.
- Migrated legacy banking machine learning models from proprietary software to an open-source Python stack (Scikit-learn), streamlining development workflows and ensuring technical alignment with C-suite strategic goals.
Data Engineer
Insurancemarket
- Developed churn prediction models that improved customer retention by 5%.
- Built ETL pipelines with AWS Glue and GCP BigQuery, reducing processing time by 50% and improving data accuracy.
- Designed dashboards using Qlik and Looker Studio that reduced stakeholder reporting time by 30%.
Experience
Automated ETL Pipeline for Public Financial Data
Education
Master's Degree in Statistics
Athens University of Economics and Business - Athens, Greece
Bachelor's Degree in Mathematics
National and Kapodistrian University of Athens - Athens, Greece
Certifications
Databricks Certified Data Engineer Professional
Databricks
Microsoft Certified: Azure Data Engineer Associate
Microsoft
Certified Palantir Foundry Solution Architect Professional
Palantir Technologies
Certified Palantir Foundry Application Developer Professional
Palantir Technologies
Certified Palantir Foundry Data Engineer Professional
Palantir Technologies
Databricks Certified Associate Developer for Apache Spark 3.0
Databricks
Skills
Libraries/APIs
PySpark, Spark ML, React, Scikit-learn
Tools
Palantir AIP Logic, Palantir AIP Agent Studio, Git, Slack, Spark SQL, Apache Spark Connect, NGINX, Claude, BigQuery, AWS Glue, Qlik Sense
Languages
SQL, TypeScript, Python, R
Frameworks
Ontology Framework, Spark, Apache Spark
Platforms
Palantir Foundry, Palantir Foundry Pipeline Builder, Linux, MacOS, Windows, Azure, Azure Data Lake Storage, Azure SQL Data Warehouse, Databricks, Spark Core, Google Cloud Platform (GCP), Qlik, Qlik NPrinting, QlikView, Integrate.io
Paradigms
REST, DevOps, Azure DevOps, ETL
Storage
Azure SQL, Azure SQL Data Sync, Azure SQL Databases, PostgreSQL, SQL Server 2019, SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), Microsoft SQL Server
Other
Palantir, Palantir AIP, Ontologies, Data Engineering, Agentic Coding, Teams, Google, Outlook, WhatsApp, Statistics, Machine Learning, Coding, Analysis, Big Data, Data Analytics, Data Analysis, Mathematics, Probability Theory, Statistical Learning, Probabilistic Graphical Models, Probabilistic Information Retrieval, Azure Data Lake, Azure Databricks, Azure Data Lake Analytics, Azure Data Factory (ADF), Apache Spark Clusters, APIs, Agentic AI, ETL Pipelines, Google BigQuery, Google Data Studio
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