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Modern data warehousing and data engineering viewed as specialized software engineering with Ken Farmer, Data Engineering Manager at Alto Pharmacy
Meet: Ken is the data engineering manager at Alto Pharmacy - which offers free, same-day medication delivery to customers. Alto's data engineering team supports the entire business with a large focus on improving the logistical efficiency of the organization.
Ken's career has focused on data engineering in which he has held a variety of roles in management, data engineering, and data architecture roles, and worked as both an employee and consultant. Ken feels that data engineering is a specialization of software engineering - and benefits from many of the same process innovations - around testing, agile, DevOps, and dataops methodologies.
What you’ll learn:
What does a modern data warehousing solution look like
Data engineering shift from GUI tools to software engineering
Data engineering viewed as specialized software engineering
If you would like to get in touch with Ken regarding anything discussed on this episode, please connect via:
https://www.linkedin.com/in/kenfar/
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Meet: Ken is the data engineering manager at Alto Pharmacy - which offers free, same-day medication delivery to customers. Alto's data engineering team supports the entire business with a large focus on improving the logistical efficiency of the organization.
Ken's career has focused on data engineering in which he has held a variety of roles in management, data engineering, and data architecture roles, and worked as both an employee and consultant. Ken feels that data engineering is a specialization of software engineering - and benefits from many of the same process innovations - around testing, agile, DevOps, and dataops methodologies.
What you’ll learn:
What does a modern data warehousing solution look like
Data engineering shift from GUI tools to software engineering
Data engineering viewed as specialized software engineering
If you would like to get in touch with Ken regarding anything discussed on this episode, please connect via:
https://www.linkedin.com/in/kenfar/
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