Senior Data Engineer at Yelp

Alireza Davoudi

I build the pipes data flows through: streaming, lakehouse and the cloud infrastructure underneath. Raw events in, something you can trust out.

Illustrated portrait of Alireza Davoudi

How I think about data

From noise to signal.

Every platform I work on follows the same arc. Scroll to fly through it.

01/ 04

Capture

Everything starts as noise.

Databases, events and clickstreams never stop talking. I like the part where change data capture and event buses turn that chatter into a stream you can actually reason about.

  • Kafka
  • Debezium
  • EventBridge
  • Lambda

02/ 04

Process

Turn motion into meaning.

Streaming and batch compute that reshapes events at scale. Underneath it all sits plain systems work, so I enjoy pulling containers, CPU limits and autoscaling apart to see how they behave.

  • Spark
  • Flink
  • dbt
  • Python
  • Docker

04/ 04

Operate

Run it like you will be paged for it.

A pipeline is only as good as the infrastructure it runs on. Infrastructure as code, least-privilege access across accounts, and a close eye on the bill.

  • Terraform
  • CDK
  • CloudFormation
  • IAM
  • Systems Manager

Certified

Four AWS certifications.

I came to data engineering through computer vision and machine learning, so I care a lot about pipelines that are observable and trustworthy. The certifications are the cloud half of that.

  • SAP

    AWS Certified
    Solutions Architect

    Professional

  • DEA

    AWS Certified
    Data Engineer

    Associate

  • DVA

    AWS Certified
    Developer

    Associate

  • SOA

    AWS Certified
    SysOps Administrator

    Associate

Writing

Notes from the cloud.

Hands-on write-ups of things I built or finally understood. Mostly AWS, containers and data infrastructure.

All 11 posts

Contact

Building something with data?
Let's talk.

Collaborating, learning or just comparing war stories, I'm always up for it. Email is the fastest way to reach me.