Analytics and data-platform teams joining data across PostgreSQL, S3 Apache Iceberg, ClickHouse, MySQL, and Elasticsearch without building brittle point-to-point ETL copies frequently search to hire a freelance Trino (Presto) federated SQL & Data Lakehouse programmer. I am Aldian Fazrihady, a Senior Freelance Data & Backend Engineer.
Core Trino Federated SQL & Query Acceleration Capabilities
- Multi-Catalog Federated Joins: Querying live operational PostgreSQL/MySQL tables alongside historical S3 Apache Iceberg / Delta Lake Parquet partitions in a single standard ANSI SQL query.
- Predicate Pushdown, Dynamic Filtering & Fault-Tolerant Execution: Tuning Trino worker memory pools, join distribution strategies, and S3 file-size compaction for sub-second interactive BI queries.
- Row-Level & Column-Level Access Control (Apache Ranger / OPA): Enforcing fine-grained data governance and PII masking across all federated catalogs.
Frequently Asked Questions
When should we use Trino versus DuckDB?
DuckDB is unbeatable for single-node in-process analytics up to数百GB, while distributed Trino clusters scale horizontally across dozens of worker nodes for concurrent multi-terabyte enterprise BI workloads.
How do I hire you for Trino and Data Lakehouse architecture?
Hire me via Upwork.