Comment by dserban

  Location: Remote / Worldwide, Role Type: Fractional, Remote
  Remote: Yes
  Willing to relocate: Yes
  Technologies: Kafka, Flink, Spark, Cassandra, Scala, Rust, Python, Zookeeper, Databricks, BigQuery, Redshift, Hive, Kinesis, Airbyte, Airflow, Temporal, DBT, Aerospike, Snowflake, Qdrant, PrestoSQL, Trino, Clickhouse, SQL, Golang, gRPC, Terraform, CUDA
  Resume: https://drive.google.com/file/d/1lZuSpneLDVzzYoeaA8or-m5m2dfYAMB4/view
  Email: in the profile

[Remote Worldwide, Fractional] I'm pursuing a role in the high-scalability distributed systems space. I'm a well-rounded Scala/Rust/Python dev, well-versed in data engineering, with deep knowledge of the internals of distributed datastores. I have experience with data modeling for high throughput database activity and a strong understanding of which workloads and data access patterns are scalable and what datastore the data should reside in. I have a highly confident ability to lead a data / MLops project from start to finish. Hire me as fractional data engineer.

Core Skills:

● Cassandra (Data Modeling, Troubleshooting Performance And Operational Issues)

● Apache Iceberg (Scaling, Tuning, Self-Hosted Setup)

● Stream Processing At Scale: Kafka, Flink, Spark Streaming, Storm

● Custom-Crafted Contextualized Embeddings, Vector-Based Semantic Search, Deep Intent Recognition In Search Engine Queries

● Languages: Scala, Rust, Python, SQL (proficient), Golang (ramping up)

Educational Background: Computer Science.

Solid experience working remotely and working with teams that are distributed geographically. I typically work Pacific Time hours.

Ask: $335K base, pro-rated.