By speeding up data prep, the experts at CloudGeometry helps keep your data science team moving. Our Data Science Pipeline Services transform data sources into a reliable source of continuous agility at scale – to solve business problems faster.

Harness automation to ensure reliable data flow and drive business agility

Seamlessly expand supply of the datasets you need for more nimble exploration

Optimize scale/spend of the processing power of data science infrastructure

How it works

At CloudGeometry, we give data science teams the power of elastic compute and storage resources — without the headaches of cloud pipeline operations. We build and run data prep end-to-end, so data scientists and app developers don’t waste time carrying water from the data lake themselves.

It means we take care of custom coding, building workflows, event-driven frameworks, continuous data refinement, and production deployment — so data endpoints are always fresh and available.

Learn more about proven CloudGeometry solution offerings:

Data Science Automation

Assess data sources and data science roadmap, to calibrate baseline for continuous agile data delivery

End-to-end Buildout

Architect and deploy cloud data pipeline infrastructure using key opensource/AWS technologies tailored to iterative data exploration

Turnkey Onboarding

Orderly knowledge transfer to ensure your data science team’s hands-on mastery of pipeline management and execution

Production Readiness

Operationalize configuration and management with Docker/Kubernetes to maximize uptime and scalability, backed by 24/7 support

How We Do It

We have proven expertise building data pipelines with both OpenSource and AWS Native technology stacks.

Making it work, even as the flow of data accelerates, is always a trade-off: it’s a balancing act across time to market, budget constraints, flexibility to move to another cloud provider, and even understanding the flavor of problem-solving styles within an organization.

Alex Ulyanov
CTO, CloudGeometry

OpenSource Stack

AWS Native Tools

Data Ingest


Ideal solution when data transformation and cleansing is required

Kinesis Firehose

Fully managed service for real-time streaming

Kafka Connect

Blazing fast solution for well-defined data sources


Best for bulk data migration of relatively slow amount of data

Snowball (Import/Export)

Good for bulk data migration of large amount of data from on premises to cloud when internet connection is slow

Storage Gateway

When you want to integrate existing on-premises data processing platform with AWS cloud

Data Storage


Good when strict consistency is not a concern; offers cross-data center replication out of the box


Best when low latency and infinite scalability is required


Good at intensive reads and integrates well with Apache big data stack


Best managed storage for OLAP


Scalable distributed object-, block- and file-level storage without a single point of failure


Best for blob storage


Highly scalable distributed FS for high-load cluster computing

Scale-out data processing


Best per-message streaming processing framework when fault-tolerant local state is required


Best when you need Spark, Hadoop, or Hbase and don’t want to manage it

Spark Streaming

Good for micro-batching with scalability and high-throughput in mind


Ideal for quick-running per-message processing

Kafka Streams

Ideal when input and output data is stored in Kafka and you need simple data processing



Novice friendly data visualization and analysis tool with interactive workflows


Turnkey solution when rich and interactive dashboards are required

Machine Learning


Best when you need full control over your network


One-click solution to build, train, and deploy machine learning models


Best when you want to add ML to you Apache big-data stack

Machine Learning (ML)

GUI to build your machine learning model


Best option when you want to quickly build and test a network

Talk to Us

Bekitzur—Amazon Partner Network Consulting Partner

CloudGeometry is a certified AWS Advanced Consulting Partner and cloud, apps, and systems migrations to AWS.

Learn more…