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Found 7 Skills
Complete guide for Apache Spark data processing including RDDs, DataFrames, Spark SQL, streaming, MLlib, and production deployment
Use when building Apache Spark applications, distributed data processing pipelines, or optimizing big data workloads. Invoke for DataFrame API, Spark SQL, RDD operations, performance tuning, streaming analytics.
Scala 3.4+ development specialist covering Akka, Cats Effect, ZIO, and Spark patterns. Use when building distributed systems, big data pipelines, or functional programming applications.
Expert data engineering covering data pipelines, ETL/ELT, data warehousing, streaming, and data quality.
Data pipeline expert for ETL, Apache Spark, Airflow, dbt, and data quality
Apache Spark distributed computing. Use for big data processing.
Data engineering patterns for ETL pipelines, data warehousing, Apache Spark, and data quality validation