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.

Impact We Make

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400M+ global payments processed annually

The system provides the scalability required to handle millions of transactions while maintaining data integrity and administrative control.

120k+

Active Users in the UK, Canada, Europe, and Australia

400M+

Global Payments Processed Annually

350k+

Downloads Across iOS and Android

3x faster AI feature iteration

The modular backend architecture allowed the team to deploy new AI capabilities and personalized features significantly faster than industry benchmarks.

40%

Reduction in meal decision time

Increase in daily active usage during pilot

Faster iteration on new AI-driven features

$57,000+ Annual Savings

The project achieved a 60% reduction in monthly cloud costs (from $8,100 to $3,300) without any loss in transaction speed or system security.

60%

Reduction in monthly cloud costs

$4800

Saved per month

$57,000+

Annual savings

50% reduction in manual validation cycles

The integration of automated benchmarking frameworks and AI-driven process automation also resulted in 30% faster internal testing workflows.

30%

faster internal testing

50%

reduction in manual validation

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

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.

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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Our Latest Thinking

Insight

Sep 28, 2026

What Does a GeekyAnts Discovery Sprint Deliver? Scope, Process, Team, Timeline, and Sample Outputs

When the business idea is clear but the scope, journeys, and technical approach are not, a discovery sprint validates them before you build. Here is what one involves, who takes part, how long it runs, and the outputs you leave with.

Insight

Sep 28, 2026

ISO 42001 Implementation Guide: How Enterprises Can Prepare for AI Management System Certification

A practical guide to ISO 42001 implementation, certification readiness, AI governance, evidence, audits, and enterprise compliance planning.

Insight

Sep 24, 2026

GeekyAnts Secures Top 10 Spot in Clutch’s August 2026 Financial App Developer Rankings

GeekyAnts ranks among Clutch’s top 10 financial app developers for August 2026, supported by a 4.9-star rating across 120 client reviews.

Insight

Sep 23, 2026

US Fintech Compliance Guide: Regulations Every Founder and Developer Should Know

A practical guide to US fintech regulations, compliance requirements, product controls, AI governance, partnerships, and launch readiness, helping fintech teams plan for compliant product development and growth.

Insight

Sep 23, 2026

Why Legacy Systems Make Business Growth More Expensive: Navigate A Smarter Path to Legacy Modernization

Learn how legacy systems make business growth more expensive and how edge-first modernization can remove constraints without replacing the existing system.

Insight

Sep 23, 2026

SSO, Audit Logs and RBAC: The Enterprise Features AI Prototyping Tools Do Not Cover | Sarika Gautam

Why AI-generated prototypes fail enterprise review: the context behind SSO, the cost of skipping audit logs, and how role explosion makes RBAC a product of its own.

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

Book a discovery consulting call with our Data Architects today.

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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.