Sr. DATA SOLUTION ARCHITECT

12/2020 – offen

• Architected a data platform for ML and Data Analytics using Terraform
(IaC), improving operational efficiency and reducing costs.
• Led project execution, managing timelines and budgets to ensure on-time
delivery with minimal scope changes.
• Developed a data governance framework, improving data accuracy by 30%
and ensuring compliance with GDPR.
• Collaborated with cross-functional teams, aligning data solutions with
business objectives, resulting in a 20% increase in decision-making efficiency.
• Optimized data architecture, improving performance in acquiring, analyzing,
storing, cleansing, and transforming large datasets by 40%.
• Designed and implemented a Lakehouse architecture using Delta Lake,
enhancing data management capabilities and reducing storage costs by 25%.
• Automated monitoring and alerting systems, reducing downtime by 50%
and accelerating issue resolution.
• Provided expert technical guidance, improving team proficiencies by 40%
and reducing costs by 15%.
• Partnered with stakeholders to define data requirements for successful
product launches, resulting in 100% on-time releases.
• Conducted vendor evaluations and contributed to staff recruitment,
ensuring a high-performing, cross-functional team.

Architekturvisualisierung, Big Data, Data Mining, Data Science, Data Warehousing, Databricks, Datenanalyse, Datenarchitekt

12/2016 – 8/2021

• Served as an Onsite Coordinator, facilitating collaboration between
geographically dispersed teams, improving project delivery times by 15%.
• Conducted RFP evaluations, leading to strategic decisions that saved 20%
in costs on third-party tools and services.
• Led end-to-end project management and served as Scrum Master,
ensuring efficient execution of Agile methodologies across multiple teams.
• Created Big Data architectures that streamlined processing, storage, and
analysis of petabyte-scale data, reducing processing time by 30%.
• Led a team of data engineers, collaborating with data scientists to
implement ML models at scale, enabling clients to improve predictive analytics
accuracy by 25%.
• Developed data governance policies, ensuring compliance with data
privacy regulations such as GDPR.
• Architected hybrid cloud solutions, optimizing workflows between onpremises
data centers and public cloud environments, saving 15% in
infrastructure costs.
• Mentored pre-sales teams, helping develop value propositions and driving a
10% increase in sales conversions by tailoring data solutions to client needs.

Apache Hadoop, Apache Spark, Azure Synapse Analytics, Big Data, Microsoft Azure, Amazon Web Services (AWS)

12/2015 – 3/2017

• Led an engineering team to create scalable data pipelines, enabling
expansion into new markets, contributing to a 15% increase in revenue.
• Optimized data pipelines, achieving a 70%+ cluster resource utilization,
reducing operational costs by 20%.
• Designed and implemented ETL pipelines, improving data integration
efficiency by 30% and reducing load times by 25%.

Apache Spark, Big Data, ETL, Python