Dmitry Smirnov

I am an experienced problem solver and expert in cloud architecture and data engineering. I'm most productive and valuable when building data platforms, modeling data warehouses, orchestrating data pipelines and creating products. I've cut my teeth with the data stack on major clouds (AWS, Azure and GCP) and know how to deliver measurable business value within tight schedules. As an individual contributor I specialize in finding the shortest path from an unstructured experience to the tangible, measurable value from the data in your organization, and focus on reaching it while maintaining high quality, testing and automating everything. As an advisor I bring a different level of depth to the working process, refining the strategy, building clarity and roadmaps and helping you find the next best steps for taking advantage of your data assets. My path started back in 2011, when I scaled processing of brain data using computing cluster and lots of bash and Matlab, and built massive machine learning pipelines to discover how human brain processes social information. Now, after a few exciting years as a data engineer, solution architect and consultant, there are very few things I don't know how to deliver, and for those - I am exceptionally fast learner. Now, to help you with keyword search, here is a laundry list of tech I know well how to deliver with: • Data warehousing: Data Vault, Snowplow, Dimensional modeling, Redshift, Snowflake, BigQuery, dbt. • Data architecture: Data Mesh, Data Lake, lean data platforms for startups. • Streaming: AWS Kinesis, Azure EventHub, GCP PubSub. • Databases: Elasticsearch, Clickhouse, Postgres, MongoDB, Redis. • Orchestration: Airflow, Dagster, AWS Step Functions, GCP Dataflow. • Data Visualization: Looker, Tableau, Datastudio. • Infra: Terraform, Cloudformation, Kubernetes, Serverless. • DevOps: Gitlab CI, Github Actions, Azure Devops, GCP Cloud Build, AWS CI/CD stack, Jenkins, Bazel. • Governance: Collibra, Alation. • MLOps: MLFlow, Azure ML, Vowpal Wabbit. • Frontend: React, Angular. • Backend: Flask, FastAPI, Phoenix (elixirlang).