Engineering
data at
planetary scale
Where every stream
becomes signal
We architect and operate data pipelines that move billions of events per day, transforming raw, high-velocity streams into the intelligence that drives your business forward.
Core
Capabilities
From raw ingestion at the edge to curated analytical layers, we architect the full data stack, built on the leading managed platforms from AWS, Google Cloud, and Microsoft Azure.
View platform coverage →Real-time Stream Processing
Sub-second ingestion and transformation of high-velocity data streams. We design topologies in Apache Kafka and Apache Flink that absorb millions of events per second without flinching.
Learn more →Petabyte-Scale Batch Processing
Massively parallel computation on structured and unstructured datasets. We orchestrate Spark workloads on EMR, Dataproc, and HDInsight that reduce days of computation to hours.
Learn more →Data Lake & Lakehouse Design
Architecturally sound storage layers using Delta Lake, Apache Iceberg, and Hudi. We design medallion architectures, bronze through gold, that make your data queryable, governable, and reliable.
Learn more →Pipeline Orchestration & Monitoring
End-to-end DAG orchestration with Apache Airflow and AWS Step Functions. We instrument every pipeline for observability, lineage, SLA tracking, anomaly detection, and automated recovery.
Learn more →Analytics Engineering & Data Modelling
Semantic layers and dimensional models that turn raw tables into business logic. dbt at the core, deployed against Redshift, BigQuery, Snowflake, or Synapse, wherever your analysts live.
Learn more →Custom Data Platform Engineering
When off-the-shelf isn't enough. We build custom connectors, ingestion frameworks, and processing engines, deeply integrated with your existing infrastructure and tailored to your data contracts.
Learn more →High-Availability Real-Time APIs
Always-on, horizontally scalable APIs that serve your data at millisecond latency. We design and operate REST and GraphQL data APIs with multi-region failover, zero-downtime deployments, circuit breakers, and SLA-backed uptime, built directly on top of your streaming and batch infrastructure.
Learn more →Data Access & Visualisation Applications
Purpose-built internal tools, dashboards, and data portals that put your processed data directly in the hands of the people who need it. From self-serve exploration interfaces to embedded analytics and real-time operational displays, we engineer the full stack from pipeline to pixel.
Learn more →Snowflake Engineering
Full-lifecycle Snowflake practice, from account architecture and virtual warehouse sizing to zero-copy cloning, dynamic tables, and Snowpark-powered ML pipelines. We design the data sharing and data mesh patterns that make Snowflake a true platform, not just a warehouse.
Learn more →Databricks Lakehouse
End-to-end Databricks platform engineering, Unity Catalog governance, Delta Live Tables for declarative streaming pipelines, MLflow for experiment tracking, and Databricks SQL for high-concurrency analytics. We run Databricks at production scale across AWS, Azure, and GCP.
Learn more →WeVi — Visitor Intelligence
Dapter's own WeVi product turns anonymous website traffic into identifiable pipeline-ready data. It links every session directly to GA4 and enriches visitor profiles through a curated partner deanonymisation network, revealing the companies and decision-makers behind your traffic so sales and marketing can act on intent the moment it occurs.
Learn more →AI & LLM Integration
We integrate large language models and AI capabilities directly into your data applications and pipelines by selecting and tuning across providers (AWS Bedrock, OpenAI, Anthropic, Google Vertex) to optimise for capability, latency, and cost. From RAG architectures over your data lake to real-time inference APIs and semantic search, we build AI features that perform reliably at production scale and don't blow your inference budget.
Learn more →Built for
enormous scale
We don't prototype pipelines, we engineer them for production at orders of magnitude you can't outgrow. Every architecture decision is made with horizontal scale, fault tolerance, and cost efficiency in mind from day one.
- 01Multi-region, multi-cloud pipeline architectures that eliminate single points of failure across billions of daily events
- 02Adaptive cluster autoscaling on AWS EMR, Dataproc, and HDInsight, compute follows the data, not the calendar
- 03Cost engineering baked in, spot instance strategies, storage tiering, and query optimisation that cuts cloud bills without cutting corners
- 04Schema evolution and backward-compatible data contracts using Avro, Protobuf, and Confluent Schema Registry
From pipeline
to product
Your data infrastructure is only as valuable as your ability to access and act on it. We close the gap by building the APIs and applications that turn processed data into real-time intelligence your teams and systems can consume.
Deep engagement
is our
differentiator
We don't deploy a team and disappear. Dapter embeds at the architectural level by becoming the data engineering backbone your organisation actually relies on.
The rarest thing in data engineering is a partner who treats your pipeline as if their name is on the SLA.
Wherever your
data lives
Deep, certified expertise across the three major cloud providers by deployed polyglot or pure-play depending on your infrastructure strategy.
Our deepest practice. EMR-native Spark and Hive workloads, Kinesis for streaming, Glue for cataloguing, Step Functions for orchestration, and S3-backed data lakes at exabyte scale.
BigQuery as the analytical backbone, Dataproc for managed Spark, Pub/Sub for event streaming, and Dataflow for unified batch and stream processing with Apache Beam.
HDInsight for enterprise Hadoop and Spark, Azure Databricks for lakehouse workloads, Event Hubs for high-throughput streaming, and Synapse Analytics as the unified analytics engine.
Your data is moving.
Is your architecture
keeping pace?
Whether you're scaling an existing pipeline or starting from scratch, we'll meet you where you are and build toward where you need to be.