Teams consolidating operational data
Move records from applications, vendors, files, devices, and databases into governed analytical or operational systems.
Batch, streaming, CDC, ingestion, orchestration, transformation, testing, and reliable delivery
Data pipeline development
Rokad develops reliable batch and streaming data pipelines with explicit contracts, testing, observability, lineage, recovery, and operational ownership.
Designed for / 01
A focused delivery model for the organisations that need it.
A production data pipeline must deliver the right data, at the required freshness, with visible quality and recoverable failure behaviour. Rokad builds ingestion, change-data-capture, event, file, API, transformation, orchestration, and serving pipelines for analytics, applications, AI, and operational workflows.
Product and AI teams requiring dependable data
Deliver fresh, validated, traceable data for models, search, recommendations, reporting, and product features.
Organisations replacing fragile ETL jobs
Introduce orchestration, tests, lineage, retries, backfills, alerts, and ownership around existing data movement.
Challenges / 02
The problems this service is built to solve.
Failures are discovered by report users
Source outages, schema changes, duplicates, late data, partial loads, and silent transformations lack operational visibility.
Backfills and reprocessing are unsafe
Pipelines are not idempotent, partition-aware, versioned, or designed to reproduce historical output consistently.
Source and consumer expectations are implicit
Schemas, semantics, freshness, completeness, ordering, retention, and ownership change without contracts or coordination.
Capabilities / 03
What Rokad can deliver.
01
Source discovery, schemas, contracts, ownership, and data classification
02
API, database, file, event, SaaS, device, and partner ingestion
03
Batch, micro-batch, streaming, CDC, queue, and event-driven pipelines
04
Orchestration, scheduling, dependencies, retries, backfills, and idempotency
05
Validation, reconciliation, tests, lineage, observability, and incident handling
06
Transformation, enrichment, deduplication, partitioning, and serving
07
Performance, cost, security, documentation, and managed pipeline operation
Platform expertise
Platform-specific implementation services.
01
Airbyte data integration services
Rokad implements, extends, migrates, and operates Airbyte data integration across managed or self-hosted deployments, standard connectors, custom connectors, CDC, and governed pipelines.
02
Fivetran data integration services
Rokad implements, migrates, governs, optimises, and operates Fivetran data pipelines across managed connectors, database replication, custom connectors, transformations, and destinations.
03
Apache Kafka engineering services
Rokad designs, builds, migrates, secures, and operates Apache Kafka and compatible managed event-streaming platforms across applications, data pipelines, and real-time systems.
Solution components / 04
The system behind the visible product.
Source contract
Schema, semantics, change process, freshness, completeness, access, ownership, and expected failure behaviour.
Pipeline runtime
Connectors, jobs, streams, queues, orchestration, checkpoints, retries, backfills, state, and resource controls.
Quality and lineage
Validation, reconciliation, tests, anomalies, source-to-output traceability, incidents, and impact analysis.
Data delivery
Tables, files, APIs, topics, features, indexes, models, service levels, access, and consumer documentation.
Use cases / 05
Where this capability creates practical leverage.
Operational data ingestion
Replicate application and vendor data into a warehouse, lakehouse, search, or downstream operational system.
Real-time event pipeline
Process events for monitoring, fraud, recommendations, product features, alerts, or operational decision support.
AI and feature pipeline
Prepare consistent training and inference data with timestamps, validation, lineage, and reproducibility.
Legacy ETL modernisation
Replace scripts and opaque jobs with versioned transformations, orchestration, tests, observability, and managed deployment.
Architecture and integration / 06
Designed to fit the wider technology environment.
Delivery semantics
Define ordering, duplication, lateness, exactly-once assumptions, idempotency, checkpoints, and reconciliation per consumer.
Schema evolution
Version contracts, detect breaking changes, preserve compatibility, quarantine invalid records, and coordinate producers and consumers.
Reprocessing as a designed path
Retain source evidence and versioned logic so historical partitions or events can be rebuilt safely and compared.
Quality and control / 07
Production requirements are part of the build.
Trust through contracts
Ownership, schemas, semantics, freshness, completeness, access, and failure expectations are explicit between producers and consumers.
Tested transformation
Pipelines and models include validation, reconciliation, lineage, observability, and controlled change before decision use.
Governed access
Identity, classification, least privilege, retention, masking, audit, and usage boundaries follow the sensitivity of the data.
Delivery / 08
A controlled path from requirement to operation.
Discover
Clarify the objective, users, systems, constraints, dependencies, risks, and measurable acceptance criteria.
Architect
Define the target design, interfaces, controls, migration or delivery sequence, and operating model.
Deliver and validate
Implement in controlled increments with testing, review, documentation, observability, and stakeholder validation.
Operate and improve
Establish ownership, service controls, measurement, support, and a prioritised improvement backlog.
Typical deliverables
Source, consumer, contract, quality, and latency assessment
Pipeline architecture, orchestration, storage, and delivery design
Production batch, streaming, CDC, or event pipelines
Validation, reconciliation, tests, lineage, and observability controls
Backfill, retry, recovery, deployment, and incident workflows
Data contracts, runbooks, ownership, and consumer documentation
Engagement models / 09
Use the delivery structure that matches the work.
Assessment and roadmap
A bounded evidence review, target direction, prioritised risks, and executable next-stage plan.
Fixed-scope delivery
A defined implementation, migration, prototype, procurement, or transformation outcome with acceptance criteria.
Embedded specialists
Specialists working alongside internal product, engineering, data, operations, security, or procurement teams.
Managed lifecycle
Ongoing ownership, maintenance, monitoring, supplier coordination, reliability, security, and improvement.
Related capabilities / 10
Continue through the wider product and technology system.
01
Data platforms
Provide the shared storage, orchestration, governance, access, and operating foundation.
02
Analytics engineering
Transform delivered data into tested business models and metrics.
03
Data warehousing
Serve governed analytical data through dimensional and domain models.
01
AI development
Governed AI applications, agents, retrieval, models, evaluation, and intelligent automation.
02
Cloud and DevOps
Cloud architecture, platforms, CI/CD, Kubernetes, security, reliability, and migration.
03
Managed technology services
Application, cloud, security, reliability, maintenance, and continuous engineering operations.
FAQ
Data pipeline development
Scope, ownership, assumptions, delivery, security, and long-term operation are clarified before work begins.
01Should a pipeline be batch or real time?
Should a pipeline be batch or real time?
The decision depends on business latency, source behaviour, consumer needs, operational complexity, cost, ordering, and recovery. Many systems use a deliberate combination.
02How do you handle source schema changes?
How do you handle source schema changes?
We define contracts, detect changes, classify compatibility, validate records, quarantine failures, version transformations, communicate impact, and coordinate rollout.
03Can Rokad modernise existing ETL without replacing everything?
Can Rokad modernise existing ETL without replacing everything?
Yes. We can introduce orchestration, tests, observability, contracts, and deployment incrementally while migrating pipelines by value and risk.
04Can pipelines be managed after launch?
Can pipelines be managed after launch?
Yes. Managed support can cover failures, backfills, schema changes, quality incidents, performance, cost, access, upgrades, and new sources or consumers.
Data engineering
Build data movement that remains trustworthy when sources and consumers change.
Rokad can define the contracts, implement the pipelines, and establish quality, recovery, and operating ownership.
Contact / 05
Bring us the difficult technology problem.
Tell us what you need to build, improve, procure, deploy, or operate. We will respond with a practical next step.