Hamburg, Germany

Mathias Modin

Lead Data Engineer & Infrastructure Manager

Lead Data Engineer and Infrastructure Manager responsible for the architecture, delivery, and operation of production data systems. I design AWS-based data platforms with real-time replication, streaming ingestion, orchestration, fault-tolerant ETL, infrastructure-as-code, and operational monitoring across analytical and transactional systems.

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Highlights

Own data architecture and platform design across AWS infrastructure, streaming ingestion, orchestration, ETL, monitoring, and database operations.
Build idempotent, fault-tolerant pipelines using AWS DMS, Kinesis, Firehose, Lambda, Fargate, Step Functions, Glue, EMR, Spark, and Apache Iceberg.
Lead data engineering and DBA delivery across MongoDB Atlas, DynamoDB, PostgreSQL, MySQL, Redshift, Elasticsearch, and cloud-native analytical systems.

Experience

Lead Data Engineer & Infrastructure Manager

Kushki · Remote / Latin America

2021 - Present

Lead architecture and operation of Kushki's AWS data platform, including networking, real-time replication, streaming ingestion, orchestration, ETL, data lake storage, and monitoring.
Design data systems and platform patterns across analytical and operational domains, aligning ingestion, storage, transformation, serving, access control, and reliability requirements.
Build idempotent and fault-tolerant data pipelines using AWS DMS, Kinesis, Firehose, Lambda, Fargate, Step Functions, Glue, EMR, Spark, and Apache Iceberg.
Automate platform infrastructure and deployments with AWS CDK, Python, CI/CD pipelines, and reusable infrastructure-as-code components.
Operate production analytical and transactional systems across MongoDB Atlas, DynamoDB, PostgreSQL, MySQL, Redshift, Elasticsearch, and Iceberg.
Implement reliability patterns including automated alerting, queue-based monitoring, DLQ handling, replay workflows, and failure recovery.
Develop MongoDB Atlas stream processing, triggers, and App Services integrations for near-real-time operational data workflows.
Manage data engineers and DBAs responsible for platform delivery, database lifecycle management, production support, and data infrastructure reliability.

Risk Data Scientist

Worldline · Stockholm, Sweden

2021

Led a risk data management project to centralize merchant risk reporting and advanced analytical capabilities on Azure with Power BI as the frontend.
Supported credit risk, fraud risk, and scheme management risk workflows with more consistent reporting and analytical foundations.

Data Analyst & Data Scientist, Risk & Compliance

Worldline · Stockholm, Sweden

2017 - 2021

Developed and maintained internal BI tools, ETL pipelines, reporting workflows, and database processes across cloud and local environments.
Created KPIs, data mining workflows, and predictive models for risk and compliance teams using R, Python, SQL, Oracle BI, Linux, Oracle, AWS, and Google Cloud.

Earlier Analytical Experience

Deutsche Bundesbank, Stockholm University & Stockholm School of Economics · Frankfurt am Main / Stockholm

2014 - 2016

Research, teaching, and financial stability roles focused on econometrics, statistics, R/Stata, and firm-level financial data.
Supported financial stability research at Deutsche Bundesbank and taught microeconomics, econometrics, statistics, and R programming at Stockholm University.

Selected Work

Real-Time AWS Data Lake Platform

Designed an AWS data lake platform combining DMS replication, Kinesis/Firehose streaming, Glue/EMR ETL, Step Functions orchestration, and Apache Iceberg tables.

Fault-Tolerant Pipeline Operations

Built queue-based monitoring, alerting, DLQ handling, replay mechanisms, and idempotent processing patterns for production data pipelines.

MongoDB Atlas Operational Integrations

Implemented Atlas stream processing, triggers, and App Services integrations for near-real-time workflows across operational MongoDB clusters.

Infrastructure-as-Code Data Platform

Automated deployment of data infrastructure with AWS CDK, Python, CI/CD pipelines, and reusable platform components.

Skills

AWS data platform

Data architecture & processing

Databases & systems

Leadership & operations

Agentic workflows

Details

Education

Stockholm UniversityMaster's studies in Econometrics2014 - 2016

Stockholm UniversityBachelor's degree in EconomicsBachelor's degree in Statistics2011 - 2014

Languages

Swedish native · English fluent · Spanish intermediate · German beginner