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Data Platforms & Engineering

Modern data foundations that support analytics, AI, and real-world scale

Most organizations outgrow their data systems before realizing it. Pipelines fail, warehouses slow down, and teams can't get clean data. Devkraft rebuilds your data foundation with modern platforms, reliable pipelines, and scalable architectures that unlock analytics and AI.

Talk to a Data expert at Devkraft

Our Suite of services

Modern Data Lake & Warehouse Design
Cloud-Native Data Platform Implementation
Batch & Real-Time Pipeline Engineering
ETL/ELT Development & Orchestration
Data Modeling, Quality, and Lineage
Platform Integration Across Apps, APIs, and BI Tools

Batch & Real-Time Pipeline Engineering
Modern Data Lake & Warehouse Design
Data Modeling, Quality, and Lineage
Platform Integration Across Apps, APIs, and BI Tools
Cloud-Native Data Platform Implementation
ETL/ELT Development & Orchestration

The problem most companies run into

Pipelines that fail silently or inconsistently

Slow or unreliable reporting

Fragmented data across systems

High warehouse costs due to inefficient queries

No lineage or quality enforcement

Difficulty supporting analytics and ML workloads

The Result ?

Teams can’t move fast, leadership can’t rely on insights, and AI initiatives stall before they begin.

How Devkraft helps you

Get a modern platform that your business can rely on - and your teams can build on.

50-80% reduction in data latency for reporting & dashboards

Up to 40% lower cloud costs through optimized compute/storage patterns

End-to-end ownership - pipelines, storage, models, APIs, infra

Strong engineering practices - CI/CD, testing, versioning, monitoring

Tight collaboration with analytics, product, and engineering teams

Scalable patterns so new data sources can be onboarded quickly

How we solve it ,
our end-to-end approach

Our approach is built around one belief: a data platform is a living system - not a collection of pipelines.

Talk to a Data expert at Devkraft

We understand your context

We map your current data landscape, bottlenecks, pain points, business consumers, and compliance needs. This gives us clarity on what the platform must enable.

1

We understand your context

We map your current data landscape, bottlenecks, pain points, business consumers, and compliance needs. This gives us clarity on what the platform must enable.

1

We understand your context

We map your current data landscape, bottlenecks, pain points, business consumers, and compliance needs. This gives us clarity on what the platform must enable.

1

We design the architecture

We define the full architecture:

warehouse/lake layout
batch or streaming pipelines
ingestion and transformation patterns
storage & compute strategy
governance, lineage, and quality checks
Everything is designed for long-term scale and maintainability.

2

We design the architecture

We define the full architecture:

warehouse/lake layout
batch or streaming pipelines
ingestion and transformation patterns
storage & compute strategy
governance, lineage, and quality checks
Everything is designed for long-term scale and maintainability.

2

We design the architecture

We define the full architecture:

warehouse/lake layout
batch or streaming pipelines
ingestion and transformation patterns
storage & compute strategy
governance, lineage, and quality checks
Everything is designed for long-term scale and maintainability.

2

We build the pipelines

We implement reliable, testable pipelines for ingestion, transformation, and delivery. Strong engineering practices ensure reproducibility and predictable execution.

3

We build the pipelines

We implement reliable, testable pipelines for ingestion, transformation, and delivery. Strong engineering practices ensure reproducibility and predictable execution.

3

We build the pipelines

We implement reliable, testable pipelines for ingestion, transformation, and delivery. Strong engineering practices ensure reproducibility and predictable execution.

3

We integrate it into your stack

Your platform connects smoothly with CRMs, ERPs, third-party APIs, event streams, BI tools, and ML workflows.

4

We integrate it into your stack

Your platform connects smoothly with CRMs, ERPs, third-party APIs, event streams, BI tools, and ML workflows.

4

We integrate it into your stack

Your platform connects smoothly with CRMs, ERPs, third-party APIs, event streams, BI tools, and ML workflows.

4

We deploy and maintain

We set up monitoring, alerting, metadata tracking, cost controls, and automated recovery. Your platform stays stable as volumes grow and use cases expand.

5

We deploy and maintain

We set up monitoring, alerting, metadata tracking, cost controls, and automated recovery. Your platform stays stable as volumes grow and use cases expand.

5

We deploy and maintain

We set up monitoring, alerting, metadata tracking, cost controls, and automated recovery. Your platform stays stable as volumes grow and use cases expand.

5

Our tech stack

Warehouses / Lakes

Snowflake, BigQuery, Redshift, Databricks, S3, GCS, ADLS

Pipelines & Orchestration

Airflow, Prefect, dbt, Kafka, Spark

Integration

Fivetran, Meltano, APIs, custom connectors

Modeling & Quality

dbt, Great Expectations, Monte Carlo

Infrastructure

AWS, GCP, Azure, Terraform, Kubernetes

Monitoring & Lineage

DataDog, Prometheus, OpenLineage, Amundsen

Ready to Build a Modern Data Platform?

Let’s engineer a data foundation your analytics, AI, and business teams can finally trust.

Ready to Build a Modern Data Platform?

Let’s engineer a data foundation your analytics, AI, and business teams can finally trust.

Ready to Build a Modern Data Platform?

Let’s engineer a data foundation your analytics, AI, and business teams can finally trust.

Modern data foundations that support analytics, AI, and real-world scale

Our Suite of services

Our Suite of services

The problem most companies run into

Teams can’t move fast, leadership can’t rely on insights, and AI initiatives stall before they begin.

How Devkraft helps you

How Devkraft helps you

50-80% reduction in data latency for reporting & dashboards

50-80% reduction in data latency for reporting & dashboards

Up to 40% lower cloud costs through optimized compute/storage patterns

Up to 40% lower cloud costs through optimized compute/storage patterns

End-to-end ownership - pipelines, storage, models, APIs, infra

End-to-end ownership - pipelines, storage, models, APIs, infra

Strong engineering practices - CI/CD, testing, versioning, monitoring

Strong engineering practices - CI/CD, testing, versioning, monitoring

Tight collaboration with analytics, product, and engineering teams

Tight collaboration with analytics, product, and engineering teams

Scalable patterns so new data sources can be onboarded quickly

Scalable patterns so new data sources can be onboarded quickly

How we solve it ,our end-to-end approach

We understand your context

1

We understand your context

1

We understand your context

1

We design the architecture

2

We design the architecture

2

We design the architecture

2

We build the pipelines

3

We build the pipelines

3

We build the pipelines

3

We integrate it into your stack

4

We integrate it into your stack

4

We integrate it into your stack

4

We deploy and maintain

5

We deploy and maintain

5

We deploy and maintain

5

Our tech stack

Our tech stack

Warehouses / Lakes

Warehouses / Lakes

Pipelines & Orchestration

Pipelines & Orchestration

Integration

Integration

Modeling & Quality

Modeling & Quality

Infrastructure

Infrastructure

Monitoring & Lineage

Monitoring & Lineage

Ready to Build a Modern Data Platform?

Ready to Build a Modern Data Platform?

Ready to Build a Modern Data Platform?

How we solve it ,
our end-to-end approach