Build end-to-end data pipelines
Optimize storage and compute costs
Integrate data sources to preferred storage systems
Create data models that effectively structure data for key use cases
Transform data from raw sources to reporting layers with necessary business context
Label and enrich datasets
Ensure data consistency and quality
Catalog data for ease of access (data governance)
Ensure data is secure and compliant

Analyze big data to uncover hidden patterns
Develop custom dashboards and reports tailored to specific needs providing actionable insights
Automate business processes

Identify high value use cases and determine technology required for implementation
Conduct data preprocessing and feature engineering
Implement various algorithms and evaluate model performance – fine-tuning to achieve desired outcomes
Deploy models in production environments with relevant APIs and efficient infrastructure
Continuously monitor models and retrain, when necessary, to ensure optimal performance