Data Tech Lead

3/2021 – 5/2022

found in reference description 2
Deliver Smart Search Capabilities on the new RTL+ platform cross-purpose featuring news, sport, movies, video on demand, music, podcast, audiobooks, and magazines.

Ref: -Hyperlink entfernt-

Big Data, Data Mining, Data Science, Maschinelles Lernen, Natural Language Processing, Lifecycle Management, Product Owner, Python, Stakeholder-Analyse

4/2020 – 10/2020

Delivered the Core of the Neuron program. Migrated the big data platform from on-prem to google cloud and followed up with the adoption by European local markets (Vodafone Spain, Germany, Italy, etc.)

The migration included petabyte scale historical data, migration of shared analytics applications, and rebuilding terabyte scale ETL pipelines to match the behavior of on-prem ETL, using cloud native services (composer and dataflow).

The new platform was delivered with slight delay despite work was carried out remotely due to covid19 emergency.

Ref: -Hyperlink entfernt-

Big Data, Engineering data management (EDM), Google Cloud, Java (allg.), Lead-Management, Maschinelles Lernen, Product Owner, Python

7/2019 – 2/2020

Rebuilding and delivering multiple scenarios in the automated trade surveillance platform.

Finanzanalyse, Objektorientierte Analyse und Design (OOAD), Python, Qt (Software), Stakeholder-Analyse, Architekturinformatik

7/2018 – 7/2019

found in reference description 8
found in reference description 8
We made it to the press: Best Ever Growth for The Times & The Sunday Times Thanks to Usable Data Science
-Hyperlink entfernt-


-Hyperlink entfernt-

Kundenberater, Universitätsdozent Künstliche Intelligenz

3/2017 – 8/2018

Deliver Logging and monitoring of corporate IT in the public cloud (AWS, o365, Azure)
Implementation of Large scale message brokers (up to 5bln messages/day with peak at market opening) and AI pipelines
Federate architecture, design and implementation
Cloud service analysis and on-boarding
Proof of Concept and profiling
Evaluation of third party auditing (SOC2/3),
Cyber-risk assessment and mitigation (partnering with cyber team),
Internal CDC and Permit to Build
Vendor products/support evaluation and vendor interaction (tech level)
Special focus on resiliency and testing
Stress test and performance tuning
Self-Service configuration and Automated deployment at instance spin-up
Integration of metrics, logging, and monitoring solution on any instance (other teams responsible for OS-Image creations and runtime initialization)
Interaction with internal clients and early adopter of beta implementation
Log routing pipeline for infrastructure monitoring, cyber, lineage, and client app
Presentation, Analysis, and Visualization of infrastructure monitoring logs
Presentation, and Metrics on Cyber and Client Apps
Architect big data analytics on streams of unstructured data (log, metrics -> events)
Present results to management (Directors) and support business decisions

Lead Developer, Java Developer Hadoop & Spark, Python

3/2016 – 3/2017

Extend the Semantic Web and Analytics projects carried out for Corporate Invest Bank to firm-wide, comprehensive reference below
Development of company-wide controlled vocabularies and reference taxonomies
Bringing analytics to scale and integrate summary data from different LoBs
Contribute to the standardization of analytics, and integration of different business processes in an homogeneous work-flow across different lines of business
Contribute to the firm-wide discriminators and information traceability back to the global Systems of Records and the Authoritative Data Sources
Implement measures for the progress and for monitoring the quality of the adoption across different lines of business
Negotiate requirements with internal clients and providers
Present results to management (Directors) and support business decisions
Involvement with international organizations for standardization
All projects delivered ahead of schedule due to extraordinary business request

Lead Developer, SPARQL (SPARQL Protocol And RDF Query Language)

11/2014 – 3/2016

Contribute to the startup of CIB Data Quality Project
Ontologies for the formal representation of data in CIB with Semantic Web
Information retrieval, traceability and linked data dependency on data sources
SQL, SPARQL, Pig Latin, and HIVE queries. REST services.
Maturity measure of information architectures and meta-data representation
Data Quality measure across the line of business
Development of pilot quality assessments
Data science toolkit: Applications and Technical Architecture, proof of concept, preliminary study and definition of specifics. Implementation of core functions.
Data presentation mediawiki estensions, Dygraphs, and D3js
Communication among different components of the unit, i.e. direct leadership, information architects, ontologists, infrastructure, vendors, and developers
Management of project integration across groups in the same unit and distributed across geographical locations, i.e. London, Glasgow, New York
Referring to managers and to the group leaders (VPs / Directors)

Lead Developer, Java-Entwickler, OWL (Web Ontology Language), RDF (Resource Description Framework), RDFS (Resource Description Framework Schema)