(01:44:27) Chris gave advice to a smart, driven engineer who wants to explore angel investing - given his experience as a strategic investor and advisor for startups in the data space since 2015.(01:38:16) Chris revisited his predictions in a 2019 post called " The Future of Data Engineering" and discussed key trends such as real-time data warehouses, data mesh, and headless BI.(01:27:14) Chris shared the story behind the writing journey of the "Missing README" - which he co-authored with Dmitriy Ryaboy.(01:25:40) Chris reflected on his experience building out WePay's engineering team. (01:20:15) Chris discussed the fundamental design principles that make Apache Kafka such a powerful technology.(01:12:40) Chris shared an insider perspective on the adoption of Apache Airflow from his experience as a Project Committee Member.(01:00:53) Chris shared the technical details behind the evolution of WePay's data infrastructure throughout his time there.(52:44) Chris talked about his decision to join the Data Infrastructure team at WePay as a principal software engineer after 7 years at LinkedIn.(46:19) Chris shared lessons learned from evangelizing Samza to the broader open-source community outside of LinkedIn.(37:39) Chris explained the motivation behind the creation of Apache Samza (LinkedIn's streaming system infrastructure built on top of Apache Kafka) and discussed its high-level design philosophy.(30:52) Chris discussed his strategy to become a better interviewer - as he performed ~1,500 interviews at LinkedIn and WePay.(28:02) Chris expanded on his concept that models and microservices should be running on the same continuous delivery stack.(25:22) Chris gave advice to early-stage startups that want to start adopting best practices in observability and deployment.(22:00) Chris provided criteria that his team relied on when choosing their big data solutions (which include Aster Data, Greenplum, and Hadoop).(11:28) Chris shared the technical and operational challenges associated with his work at LinkedIn as a data scientist - scaling LinkedIn's Hadoop cluster, improving LinkedIn's "People You May Know" algorithm, and delivering the next generation of LinkedIn's "Who's Viewed My Profile" product.(07:31) Chris recalled valuable lessons from his first job as a software engineer at PayPal, researching new fraud prevention techniques.(01:47) Chris reflected on his educational experience at Santa Clara University in the mid-2000s, where he also interned at NeoMagic and Intacct Corporation.
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