Data Engineering & Analytics

Database Architecture & Data Engineering

Design, modernize and optimize databases and data platforms with data integration, migration, performance tuning, analytics and scalable data architectures.

IDEAL FOR

High-Volume SaaSFinTech & BankingHealthcare RecordsAnalytics & BI TeamsE-Commerce CatalogsMulti-Region CloudEnterprisesData-Driven Startups

What We Do

End-to-End Database & Data Platforms

One partner covering strategy, build, cloud, security, quality, and support.

Database Architecture & Modeling

Architect normalized, high-throughput relational and NoSQL data models built to support growing enterprise transactional loads.

  • PostgreSQL, MySQL, and MongoDB modeling
  • Sharding & partitioning strategies
  • ACID compliance & data integrity

Performance Tuning & Query Optimization

Diagnose slow queries, fix missing indexes, optimize execution plans, and eliminate CPU bottlenecks on production databases.

  • Query EXPLAIN ANALYZE profiling
  • Index strategy (B-Tree, GIN, GiST)
  • Buffer cache & connection pool tuning

Zero-Downtime Data Migration

Seamlessly migrate terabytes of operational data across cloud providers or legacy on-prem servers without service interruption.

  • Change Data Capture (CDC) pipelines
  • Automated data verification checks
  • Instant rollback capabilities

Data Warehousing & Modern Lakehouses

Consolidate operational data into unified analytical stores (Snowflake, BigQuery, ClickHouse) for fast BI reporting.

  • Star/Snowflake analytical schemas
  • Automated batch & streaming ingestion
  • Cost-effective analytical storage

ETL / ELT Pipelines & Integration

Build robust data pipelines that clean, transform, and load business data across CRM, ERP, and analytics tools.

  • dbt & Airflow workflow automation
  • Data validation & anomaly alerts
  • Real-time streaming with Kafka

High Availability & Disaster Recovery

Implement automated cross-region replication, continuous backups, point-in-time recovery (PITR), and failover testing.

  • Multi-AZ active/passive replication
  • Automated daily point-in-time backups
  • Documented RPO & RTO guarantees

Why Choose Dplanck?

The Standards We Stand By

Senior engineering, enterprise rigor, and transparent collaboration.

Technology Stack

Tools & Frameworks We Leverage

PostgreSQLMySQLMongoDBRedisSnowflakeGoogle BigQueryClickHousedbtApache AirflowKafka

Clarity & Confidence

Frequently Asked Questions

Key considerations regarding our technical execution and delivery models.

Can you help optimize slow queries in our current production database?

Yes. Our database engineers perform a deep-dive audit of slow query logs, table schemas, execution plans, and memory configuration to deliver rapid performance boosts.

Which cloud data warehouse do you recommend?

We assess your query volume, team skill set, and budget to recommend between Snowflake, Google BigQuery, or ClickHouse for real-time analytics.

Ready to Accelerate Your Technology Roadmap?

Schedule a technical consultation with our engineering leads to discuss your requirements.