BENNIT Solutions

Data Engineering & Database Architecture

bennit.sql

-- data engineering for reliable, regulated systemsSELECT reliability, performanceFROM   data_platformsWHERE  uptime >= 99.99  AND  data_loss = 0;

-- returns 1 row:

Data Engineering forReliable, Regulated Systems

I build and run scalable data platforms using PostgreSQL, SQL Server, Kafka, and Apache Airflow. My focus is keeping mission-critical systems available and performant while delivering changes safely.

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-- about

Systems that actually work

I handle the full lifecycle—from requirements and architecture through implementation and operations. My goal is shipping data systems teams can rely on. I reduce incidents by designing clear failure modes, building strong observability, and automating the repetitive stuff.

Read the short bio

-- skills

What I'm Good At

My core skills in database systems and data engineering

Database Administration

PostgreSQL and SQL Server administration, backup/recovery, security, monitoring, and capacity planning.

PostgreSQLSQL ServerBackup & RecoveryMonitoring

ETL/ELT Pipelines

Building scalable data pipelines with Apache Airflow, Python, and modern orchestration frameworks.

Apache AirflowPythondbtOrchestration

Data Streaming & CDC

Real-time data pipelines using Kafka and Debezium for change data capture and event-driven architectures.

KafkaDebeziumCDCEvent-Driven

High Availability

Designing fault-tolerant clusters with replication, automatic failover, and load balancing for mission-critical systems.

ReplicationFailoverLoad BalancingClustering

Performance Tuning

Query optimization, indexing strategies, execution plan analysis, and system configuration tuning for maximum performance.

Query OptimizationIndexingExecution PlansConfiguration

Cloud & DevOps

Experience with AWS, Azure, Docker, Kubernetes, and infrastructure as code for database deployments.

AWSAzureDockerKubernetes

-- metrics & impact

Metrics & Impact

Representative outcomes across engagements

metrics.sql

-- representative outcomes across engagements
SELECT metric, value FROM impact;

metric	value
Service Uptime	0.00%
Events/Day	0K+
Performance Gains	0%
Data Loss Incidents	Zero

(4 rows)

-- featured_projects

Featured Projects

Selected case studies showcasing database and data engineering expertise

PostgreSQL High Availability Cluster

I designed and implemented a fault-tolerant PostgreSQL cluster with automatic failover, achieving 99.99% uptime for a critical financial application.

•99.99% uptime over 18 months
•Planned maintenance: hours → seconds

PostgreSQLPatroniHAProxyetcd+2 more

View Case Study

Change Data Capture Pipeline with Kafka

I built a real-time CDC pipeline using Debezium and Kafka to stream database changes to downstream systems, enabling real-time analytics and data synchronization.