Kelsey Beyer
Lead Developer, Data Engineer, Data Strategist Architect @Thoughtworks
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WORK HISTORY
Lead Developer, Data Engineer, Data Strategist Architect @Thoughtworks
Munich, DE
Domains: Corporate Finance Client, Life Sciences, Energy, EV Charging, Forklift and Logistics, Energy, Banking, Car Manufacturing, Train Operator, Insurance Brokerage companyLocations: Munich, Hamburg, London, Zurich, Stuttgart, Berlin, Milan* Led team to create Data Mesh operating model, goals and value propositions of use cases, roles & responsibilities of teams, governance structures, cloud strategies, use case prioritisation, and data platform/engineering capabilities through workshops, interviews at various flight levels (business & tech)* Developed long- and short-term prioritised roadmaps towards implementation and iterative delivery* Designed, implemented, maintained, and operated data platforms around batch/streaming data pipelines, storage solutions, query engines, data quality and data governance tooling, data modelling (conceptual, logical, physical)* Founder of 8-day Data Engineering Training for Developers currently run globally with dedicated trainers and content curators which has the highest NPS score of internal training offerings at ThoughtworksTechnologies: Azure (Synapse, ADLS), AWS (Glue, EMR, Athena, Lambda, Fargate, Elasticsearch, Kinesis, S3, DynamoDB), Databricks, Python, Delta Lake, Parquet, Snowflake, Data Vault, Grafana, Cloud Networking, Colibra, CI/CD tools, Python, Scala, Spark
EDUCATION
Northwestern University
MA, Linguistics
Victoria University of Wellington
visiting scholar, Linguistics
Northwestern University
BA, Linguistics
ABOUT KELSEY BEYER
While my current role is somewhat closer to Data Architecture/Strategy, I wear other hats including Software Engineering, Infrastructure, Platform (Application/Data), and Data Engineering. I am comfortable in both advisory and hands-on technology roles.Some of my current activities include:* Working with clients through developing and facilitating workshops and conversations to develop a Data Mesh strategy with a focus on modern practices in data* Guiding clients through the Data Mesh principles and how to apply the strategy to their requirements, including how to develop and deploy technologies to support it* Guiding the definition and implementation of the strategy which includes technology choices, processes, closing organizational skill gaps, and governance/ownership practices* Identifying team constellation and capabilities required for Data Product teams, Data Platform team, and other supporting structures* Participation in planning, needs analyses, and risk assessment* Advising Data Architects and Engineering leaders client-side when designing and delivering scalable internal and external applications and tools* Collaborating with senior engineering leadership to ensure roles, skills and practices are embedded into and governance appropriately on software delivery teams * Helping shape new business opportunities based on needs from the client* Coaching and mentoring teammates and client in the area of Data Architecture and Data Mesh* Developing and operating modern data architectures (batch, near real time) to achieve key business objectives* Incorporating Data Quality and Governance into strategy, day-to-day work, and delivery process* Discussing cloud and platform strategies and how a client can use them to scale* Linking technical work to business Other topics: talk to me about regenerative agriculture, soil health, zero-waste, composting, and sustainability.
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