Databases & Data Platforms Job Support

A slow query, a broken migration, a Snowflake credit explosion — database problems can stop an entire team. Our databases and data platforms job support service puts a senior data engineer or DBA on your screen within minutes to diagnose and fix the issue.

Relational Databases

SQL Server

  • Query optimisation – execution plans, missing indexes, statistics
  • T-SQL – stored procedures, CTEs, window functions
  • Always On Availability Groups, log shipping, replication
  • Entity Framework / SSMS troubleshooting

PostgreSQL

  • EXPLAIN ANALYZE – slow query diagnosis, index selection
  • JSONB columns and operators
  • Partitioning – range, list, hash partitions
  • pg_cron, logical replication, read replicas
  • Extensions – PostGIS, pgvector, TimescaleDB

MySQL / MariaDB

  • InnoDB internals, deadlock analysis
  • Query cache, slow query log analysis
  • Replication lag troubleshooting
  • Schema migration with Liquibase / Flyway

NoSQL & NewSQL

MongoDB

  • Aggregation pipeline – $lookup, $unwind, $group, $project
  • Index strategy – compound, sparse, TTL, text indexes
  • Change streams, transactions, Atlas Search
  • Schema design – embedding vs. referencing trade-offs

Redis

  • Data structure selection – strings, hashes, sorted sets, streams
  • Pub/Sub vs. Streams for messaging
  • Cluster mode, sentinel, eviction policies
  • Caching patterns – cache-aside, write-through, TTL strategy

Cassandra / ScyllaDB

  • Partition key design, clustering columns
  • Read repair, tombstone accumulation
  • Tuning consistency levels for performance vs. durability

Cloud Data Warehouses & Lakes

Snowflake

  • Virtual warehouse sizing and auto-suspend
  • Zero-copy cloning, time travel, data sharing
  • Cost optimisation – query result cache, clustering keys
  • Snowpark for Python/Java UDFs

Databricks

  • Delta Lake – ACID transactions, schema enforcement, OPTIMIZE / ZORDER
  • Spark tuning – executor configuration, shuffle partitions, broadcast joins
  • Unity Catalog – data governance, row/column-level security
  • Jobs and DLT (Delta Live Tables) pipelines

AWS Redshift / BigQuery / Azure Synapse

  • Distribution keys and sort keys (Redshift)
  • Partitioned tables and materialised views
  • ETL pipeline optimisation

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