• Consulting to help you navigate the tool selection & procurement process to ensure you choose the right technology for your use case and team setup, whether it's Apache Kafka for streaming data, Spark and Databricks for processing, or data warehousing solutions like Snowflake and BigQuery

• Designing & building data systems that move your data fast, store it safely, and make it always available

• Migrating from legacy systems to modern solutions and systems such as cloud-based data lakes, warehouses, or lakehouses

• Assessing & future-proofing your existing tool stack and recommending optimizations 

• Partnering with you to develop custom cloud-based solutions tailored to meet your specific business needs 

• Building batch and streaming data pipelines to guarantee secure, fast, and reliable data flow between systems
• Developing data centralization and decentralization solutions aligned with your organization’s needs (e.g. Single Source of Truth, Data Mesh)
• Designing and implementing automated ETL/ELT solutions that enhance and scale your data processing capabilities  

• Design, audit, and implement your DataOps & DevOps setup to ensure efficient delivery and scaling of your data products
• Implement data reliability and observability solutions to maintain and monitor the quality and integrity of your data
• Define and implement CI/CD data operation practices to enable fast iterations and streamlined development
• Deploy & manage cloud & on-premise data solutions, e.g. machine learning models, Tableau server, and more 

Our Data Product Team will be happy to advise you on all your data engineering and data architecture questions.