Service

Cloud, Data & Backend

Cloud-native backends plus production data engineering — warehouses and lakehouses, ETL/ELT and streaming pipelines, orchestration, and APIs that scale from MVP to millions of users, with observability, data quality, and cost control built in.

What we build

Cloud & data offerings

Analytics pipelines and cloud-native platforms — orchestration, warehouses, Kubernetes, and observability with measurable reliability targets.

Infra, pipelines & analytics platforms — AWS, GCP, Spark, Airflow, Kubernetes

Service 01

Data Platforms & Analytics Pipelines

Warehouses, lakehouses, and orchestrated pipelines — reliable data your teams can trust.

Assess

Sources · Gaps · SLAs

Map

Architect

Lake · Warehouse · DAGs

Build

Implement

Pipelines · Models · QA

Operate

Trusted analytics

Fresh · Tested · Documented

We design and operate production data stacks — from ingestion and CDC through transformation to dashboards. Airflow-orchestrated jobs, dbt models with tests, and warehouses on BigQuery or Snowflake that stay fresh, documented, and cost-aware as volume grows.

Source assessment, lineage mapping, and SLA definition
ETL/ELT pipelines with Airflow, Spark, and dbt
Warehouse & lakehouse design (BigQuery, Snowflake, S3/GCS)
Streaming ingest with Kafka and real-time CDC patterns
Data quality checks, alerting, and freshness monitoring

AIRFLOW
DBT
SPARK
KAFKA
SNOWFLAKE
BIGQUERY

Recent outcome

5d → 1d

month-end close after rebuilding a fintech reconciliation pipeline with automated checks and orchestration

Service 02

Cloud Infra, APIs & Platform Reliability

AWS/GCP backends that scale — containers, CI/CD, observability, and APIs built to survive launch day.

Current stack

Infra · Pain · Scale

Audit

Platform design

K8s · APIs · IAM

Build

Harden

CI · Monitor · DR

Scale

Production scale

SLOs · Cost · Runbooks

When your product outgrows a single server, we architect cloud-native platforms — Kubernetes workloads, Terraform-managed infra, resilient APIs, and observability that catches issues before users do. Built for traffic spikes, multi-region, and teams that ship daily.

AWS & GCP architecture, networking, and IAM hardening
Docker, Kubernetes, and Terraform infrastructure as code
REST/GraphQL APIs, caching, and autoscaling patterns
CI/CD pipelines with staged rollouts and rollback
Prometheus, Grafana, and SLO-driven on-call readiness

AWS
GCP
KUBERNETES
TERRAFORM
CI/CD
OBSERVABILITY

Recent outcome

10M+

follower launch-day stability on a microservices platform we rebuilt — unified analytics and AI discovery in one cloud stack

What's included

AWS & GCP cloud architecture
Data pipelines, ETL/ELT & orchestration
Warehouses, lakes & analytics (BigQuery, Snowflake, dbt)
Streaming & event pipelines (Kafka, CDC, real-time ingest)
Docker, Kubernetes & CI/CD
Observability, data quality & reliability

Tech we use

Cloud & platform: AWS · GCP · Docker · Kubernetes · Terraform · CI/CD
Data engineering: Apache Spark · Airflow · dbt · Kafka · BigQuery · Snowflake
Ops & data stores: PostgreSQL · Redis · Prometheus · Grafana · Data quality

Ready to start your cloud, data & backend project?

Book a free call — we'll scope it together and ship with clarity.

Book a free call