1) Determining the client's requirements2) Creating an extremely flexible and effective data engineering architecture3) Build the Data Engineering framework4) Implement the Data Ingestion patterns5) Store the data in optimized format6) Process the data – transformations and metadata7) Data quality validation and verification8) Orchestrate the pipeline9) Deploy the pipeline10) Offering your firm data-driven and analytical solutions