GeekyAnts

Data and Infrastructure Engineering

We build digital solutions for pipelines, warehouses, and databases that support decision-making. From database tuning to constructing pipelines, we create production systems with observability, governance, and cost transparency.

Messy data pipelines and under-optimized databases lead to slow queries and high storage costs. Running an open-source data warehouse with 30TB of data costs nearly $1 million every year. Without a standard framework for your data, decision-making slows down and teams lose trust in the company’s data projects.

GeekyAnts removes these data bottlenecks and storage wastes. We audit your current systems, find the performance blockers, and build a roadmap.

Work

Impact We Make

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400M+ global payments processed annually
Fintech Admin Engine

400M+ global payments processed annually

The system provides the scalability required to handle millions of transactions while maintaining data integrity and administrative control. 
Active Users in the UK, Canada, Europe, and Australia
120k+
Global Payments Processed Annually
400M+
Downloads Across iOS and Android
350k+
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Engagement

Our Core Capabilities

Database Reliability Engineering 

We deep-tune PostgreSQL, MariaDB, and Redis to ensure performance and data safety. 
  • Replication Setup
  • PITR Backup
  • Query Optimization

Data Pipelines (ETL/ELT)

We build robust pipelines to move, transform, and load data for analytics and machine learning. 
  • CDC
  • Batch Processing
  • Stream Processing

Infrastructure as Data 

Managing stateful workloads using advanced orchestration patterns. 
  • StatefulSets
  • Persistent Volumes
  • Disaster Recovery

Services

Data Engineering Services for Enterprises

PostgreSQL Infrastructure

Advanced tuning and scalable PostgreSQL architecture.

MariaDB Performance

High-availability MariaDB solutions and performance optimization.

Redis Cluster Management

Distributed caching and high-speed data structures

Advantages of Partnering with GeekyAnts

We engineer systems capable of managing Petabyte-scale data without performance degradation
Through the implementation of Materialized Views and specialized engines, we reduce dashboard load times from 30 seconds to under 500ms.
We prioritize Database Reliability Engineering to ensure total data safety. 

Engagement

Backend Engineering Services for Enterprises

Product Backend Studio

We build the "0-to-1" engine for new, high-growth applications.
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Enterprise Backend

We specialize in transforming monolithic legacy systems into modern microservices.
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Cloud & Platform Engineering

We treat infrastructure as code to balance performance with cost.
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Data & Infrastructure Engineering

We build the high-speed pipelines that turn raw data into business intelligence.
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Insights

Our Latest Thinking

The Hidden Complexity Behind GitOps’ “Push to Deploy”
Nov 6, 2026

Insight

The Hidden Complexity Behind GitOps’ “Push to Deploy”

A GitOps platform that provisioned isolated customer environments straight from Git, and the four problems that surfaced once it was running: dependencies that weren’t ready when resources existed, configuration changes that broke existing tenants, successful deploys that hid broken integrations, and resource limits that blocked work the cluster could handle. The piece documents each fix, the ~110-second provisioning run, and is careful about which numbers are measured observations and which are calculations.

Contact

Is your data team fighting high latency instead of shipping insights? 

Book a discovery consulting call with our Data Architects today.

Contact us

Technologies

Our Backend Stack

Working with clients across 20+ industries has verified one thing—cookie-cutter approaches do not work when it comes to backend. The backend needs to be tailored for the business and the goal. That is why we do not force one stack on you. We choose the right tool based on performance needs, ecosystem fit, and your team’s expertise.

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The Right Conversation Can Save You Six Months.

Book a Callinfo@geekyants.com