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Get reliable data pipelines, warehouses, lakes, dashboards, and AI-ready architecture built around your source systems, governance needs, and business workflows.
End-to-end data infrastructure services, from raw storage to real-time analytics, built for scale, compliance, and AI readiness.
A centralised repository for raw and unstructured data that gives your organisation the foundation for insightful decision-making. We design, deploy, and govern data lakes built to handle big data at any scale.
Transform your data into a strategic asset with centralised, query-optimised warehousing. From extraction and transformation to loading and reporting, we create a unified view of your organisation’s data.
Automated data workflows that ensure smooth flow from diverse sources to your destination of choice. Built on ETL/ELT methodologies, your data moves reliably so your team can focus on deriving value.
Uncover the stories within your data through compelling visual representations. Charts, graphs, and live dashboards that transform complex datasets into clear, accessible insights your team can act on.
Get the engineering layer needed to make your data reliable, accessible, secure, and ready for analytics, automation, and AI.
Our data engineers bring deep experience across healthcare data pipelines, fintech analytics, and high-growth technology platforms, with the certifications and delivery discipline to support regulated environments.
Stay ready for modern analytics and AI with data lakehouses, streaming pipelines, and AI-ready architectures built around your business systems.
Get a data strategy that fits your existing infrastructure, business goals, and team workflows, without forced tooling or generic blueprints.
Build data infrastructure designed for integrity, uptime, security, lineage tracking, and audit-ready operations.
Expand from a single pipeline to an enterprise-grade data platform without re-architecting every time your data volume or use cases grow.
Build with HIPAA, ISO 27001, GDPR, and PCI DSS requirements in mind from the start, with controls and workflows ready for audit.
Talk to our data team and walk away with a clear infrastructure roadmap and quick-win plan.
From raw ingestion to AI-ready output, we build and manage every stage of your data pipeline with lineage, observability, and compliance controls built in.
Collect and import data from APIs, databases, SaaS platforms, IoT devices, and real-time event streams into a unified, governed data layer.
Clean, normalise, and transform raw data for analysis. Purpose-built ETL/ELT pipelines with comprehensive data lineage and observability tracking every transformation.
Enhance datasets with contextual metadata, domain-specific labelling, and augmentation — accelerating time-to-AI-readiness and improving downstream model quality.
Securely store processed data in the right architecture — data lake, warehouse, lakehouse, or hybrid — organised for efficient querying, reporting, and access control.
Enable intuitive data exploration with custom dashboards, real-time visualisations, and self-serve analytics tools that turn insights into decisions.
Continuously monitor pipeline health, data quality, and performance. Alert on anomalies and optimise for efficiency, reliability, and cost at every layer.
A structured 6-phase delivery process that takes you from data requirements to governed pipelines, reliable analytics, and continuous optimisation.
FTEs in 24 months
Data incidents
Abacus Insights needed to rapidly scale a HIPAA-compliant data engineering team without the risk of fragmented vendors and inconsistent data quality. They needed DataOps engineers who could own pipelines, not just execute tickets.
TechKraft built a fully compliant Offshore Delivery Centre with dedicated DataOps, QA, and Tech-Ops roles. The team scaled from 10 to 120+ engineers in 24 months, managing complex healthcare data pipelines with full lineage tracking and zero data incidents — before executing a full BOT ownership transfer.
Abacus Insights needed to rapidly scale a HIPAA-compliant data engineering team without the risk of fragmented vendors and inconsistent data quality. They needed DataOps engineers who could own pipelines, not just execute tickets.
TechKraft built a fully compliant Offshore Delivery Centre with dedicated DataOps, QA, and Tech-Ops roles. The team scaled from 10 to 120+ engineers in 24 months, managing complex healthcare data pipelines with full lineage tracking and zero data incidents — before executing a full BOT ownership transfer.
"TechKraft has been instrumental in ensuring the security of our healthcare data and infrastructure. They have become an extension of our internal team, consistently delivering quality engineering support while adhering to our strict compliance and security requirements."
FTEs in 24 months
Data incidents
TechKraft has been instrumental in ensuring the security of our healthcare data and infrastructure. They have become an extension of our internal team, consistently delivering quality engineering support while adhering to our strict compliance and security requirements.
Everything you need to know before starting your AI journey with TechKraft.
We implement robust data governance practices including automated validation, cleansing, and enrichment at every pipeline stage. Full data lineage tracks every transformation from source to destination. We adhere to HIPAA, ISO 27001, and GDPR requirements, with audit trails that satisfy regulatory scrutiny.
A focused single-source pipeline can be operational in 2–4 weeks. A full enterprise data platform with multiple sources, transformation layers, and dashboards typically takes 8–16 weeks. We work to your milestones and deliver incrementally so you see value before the full build is complete.
Schedule a data consultation — a 60-minute session where we audit your current data setup, understand your business objectives, and map the fastest path to a scalable, compliant data infrastructure. No commitment required. You leave with a clear picture of what to build and in what order.
Yes — we specialise in cloud-native data engineering on AWS, Azure, and GCP. We design scalable, cost-optimised architectures using managed services (BigQuery, Snowflake, Databricks, Redshift) and handle multi-cloud and hybrid deployments where your data lives across environments.
We serve healthcare (HIPAA-compliant clinical and claims data), financial services (regulatory reporting, risk analytics), and high-tech (product analytics, growth engineering). Our solutions are flexible enough to address the unique data challenges of each sector without starting from scratch.
Yes — most engagements start with our engineers integrating directly into your existing team, tools, and workflows. We bring specialised DataOps, pipeline engineering, and governance depth your team may not have in-house, while your team retains product context and architectural direction.
Schedule a data consultation, we’ll audit your current infrastructure and map the fastest path to a scalable, AI-ready data platform.
60-minute audit of your data infrastructure. Walk away with a clear roadmap and quick-win priorities.
60-minute audit of your data infrastructure. Walk away with a clear roadmap and quick-win priorities.
