Jan Iwaszkiewicz, Developer in Lausanne, Switzerland
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Jan Iwaszkiewicz

Verified Expert  in Engineering

Bio

Jan is a seasoned data, cloud, and systems architect with expertise in energy trading data architecture. He worked on distributed computing optimization at CERN and has experience as a database integrator. Passionate about solving complex data challenges at the intersection of IT and business, Jan has 10+ years in software engineering. He specializes in enterprise data integration, scalable architectures, distributed systems, and predictive analytics across energy, trading, banking, and R&D.

Portfolio

Scaleia
Amazon Web Services (AWS), PostgreSQL, Oracle, PySpark, Python, Data Governance...
Antaes
Sparx Enterprise Architecture, UML, BPM, Business Analysis...
Credit Suisse
Palantir Foundry, PySpark, Linux, Git, Ontologies, Python, Data Governance...

Experience

  • Python - 8 years
  • Data Governance - 8 years
  • Data Architecture - 7 years
  • Knowledge Management - 7 years
  • SQL - 6 years
  • Business Analysis - 5 years
  • AWS IoT - 5 years
  • Time Series Data - 3 years

Availability

Full-time

Preferred Environment

Linux, SQL, AWS IoT, Python, Open Source, Spark, C++, Time Series Data, Neo4j, AWS IAM

The most amazing...

...solution I've developed is an adaptive scheduling algorithm I invented after careful statistical analysis at CERN, outperforming previous solutions by 30%.

Work Experience

Founder and Consultant

2014 - PRESENT
Scaleia
  • Designed and developed a data-taking architecture for solar installations on AWS, using MQTT, Python, and RDS.
  • Created a proof of concept project coordination SaaS using knowledge graphs in Neo4j.
  • Parallelized ML workloads on Hadoop and optimized them for a news analytics startup.
Technologies: Amazon Web Services (AWS), PostgreSQL, Oracle, PySpark, Python, Data Governance, Data Architecture, Knowledge Management, Data Engineering, Amazon Simple Queue Service (SQS), JavaScript, TypeScript, AWS Cloud Development Kit (CDK), Infrastructure as Code (IaC)

Senior Systems Architect

2023 - 2024
Antaes
  • Implemented an invoice dematerialization system for a cantonal administration, ensuring seamless integration and enhanced efficiency.
  • Designed and documented the system architecture for the project, ensuring clear structure and functionality.
  • Engineered and developed ETL data pipelines utilizing Control-M, optimizing data flow and processing efficiency.
Technologies: Sparx Enterprise Architecture, UML, BPM, Business Analysis, Project Coordination, SAP FI, Architecture, APIs, Data Pipelines, Data Architecture, Data Engineering, API Integration, Jira, Infrastructure as Code (IaC), Single Sign-on (SSO)

Solution Architect

2019 - 2019
Credit Suisse
  • Migrated a landing zone NAS for a huge data lake with numerous data feeds.
  • Analyzed and proposed a metadata management framework for an analytics data lake.
  • Developed a data architecture for an internal application with complex data flows.
Technologies: Palantir Foundry, PySpark, Linux, Git, Ontologies, Python, Data Governance, Metadata, Data Architecture, Data Engineering, API Integration, Jira

Data Architect

2014 - 2018
Romande Energie
  • Spearheaded the complex migration of the infrastructure database, ensuring a seamless transition and minimal disruption.
  • Developed interfaces between technical databases, including GIS, SCADA, and SAP, to ensure seamless data integration and communication.
  • Analyzed and prepared a new system architecture for the energy trading team, optimizing performance and scalability.
Technologies: Oracle, GIS, Database Modeling, TOGAF, ETRM, MQTT, Architecture, APIs, Data Feeds, Data Pipelines, Trading, Data Architecture, Data Governance, Data Engineering, API Integration, Amazon Web Services (AWS), Jira

Software Engineer

2005 - 2011
Cern
  • Integrated Solr/Lucene search into INSPIRE, one of the largest scientific archives (inspirehep.net), enhancing search functionality and performance.
  • Co-developed pioneering, distributed, interactive data analytics software for physics data using MapReduce as part of the Parallel ROOT Facility (PROOF) project within the ROOT framework (root.cern.ch).
  • Devised adaptive scheduling strategies that significantly enhanced resource utilization in distributed computing environments.
Technologies: C++, Git, Python, MapReduce, Linux, Document Management Systems (DMS), Knowledge Management, Agile Software Development, Data Architecture, Data Engineering

Experience

Market Data Collection and Processing

For an international power trading client, I architected and developed a cloud-based system that fetched data from various internet sources, transformed and stored it, and utilized it in interactive dashboards.

Education

1998 - 2004

Master's Degree in Computer Science

University of Warsaw - Warsaw, Poland

Skills

Libraries/APIs

PySpark

Tools

Jira, Amazon Simple Queue Service (SQS), AWS IAM, GIS, Git, MQTT, AWS Cloud Development Kit (CDK)

Languages

SQL, Python, UML, TypeScript, C++, JavaScript

Platforms

Amazon Web Services (AWS), AWS Lambda, AWS IoT, Oracle, Linux, Amazon EC2, Palantir Foundry

Storage

Data Pipelines, PostgreSQL, Neo4j, Database Modeling, Amazon S3 (AWS S3)

Paradigms

Agile Software Development, MapReduce

Frameworks

Spark, TOGAF

Other

Data Governance, Data Architecture, Data Engineering, API Integration, Time Series Data, Information Architecture (IA), Business Analysis, Knowledge Management, Architecture, APIs, Trading, Infrastructure as Code (IaC), Single Sign-on (SSO), Open Source, Software Development, Sparx Enterprise Architecture, BPM, Project Coordination, SAP FI, TimescaleDB, ETRM, Document Management Systems (DMS), Data Feeds, Scraping, Artificial Intelligence (AI), Ontologies, Metadata

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