It's definitely better than raw 500+ lines of SQL composed with 300+ lines of Python for some bespoke business transformation without clean versioning, which is what SQL transformations tend to converge towards without something like dbt.
649 karma · joined May 21, 2022
Remote: Yes. Hybrid in The Hague/Amsterdam/Randstad also works.
Willing to relocate: Open within the EU+EFTA for the right role. US/UK/HK/SG only with serious relocation support.
Technologies:
Core: Python, SQL, R
Data engineering: PySpark/Spark, Databricks, dbt, Airflow/Dagster/Prefect, Kafka, Polars
Warehouses/lakes: BigQuery, Snowflake, PostgreSQL, DuckDB
Cloud/infra: Azure, GCP, AWS, Docker, Kubernetes fundamentals, Terraform
Data quality: Great Expectations, Pandera
ML/NLP: XGBoost, Keras, PyTorch, SetFit
Also some Go, Rust, Scala
Résumé/CV: https://drive.google.com/file/d/1qRsq9QoQF0hZ2FSmhaidGTUd1JmHSb-M/view?usp=sharing
LinkedIn: https://www.linkedin.com/in/v-vilimaitis/
Email: vladimirvilimaitis _at_ gmail _dot_ com
Senior data/platform engineer, around 5 years of experience. I build data systems where the output has to be trusted. Recent work includes validation frameworks for EU regulatory reporting at ESMA, Spark/Databricks pipelines for logistics use cases for SHV Energy, ESG reporting for KPMG, healthcare migration/data quality work around openEHR, and BigQuery/Airflow pipelines for logistics analytics.
I’m strongest in messy-source-data problems: ETL/ELT, data quality, warehouse/lakehouse modeling, pipeline reliability, cloud data platforms, and making analytical systems debuggable by people who were not there when they were built.Looking for: data engineering, data platform, backend/data infrastructure, analytics engineering with real engineering depth, machine learning/data-heavy DS roles, ML/LLM infrastructure, or small technical teams building data products. Open to both full-time positions and contracting.
Available immediately.
Potato potato
import polars as pl
from polars import col, litI'd argue that this is one of the better gifts life has given me, don't be too harsh on yourself.
Bold thing to say.
t. European
So how would you do ePrivacy Directive compliance/risk avoidance in a non-obnoxious way?