Platforms, pipelines, operations, projects
Big data engineering
Build the platform underneath everything else, and use it to run operations better. We design data lakes, real-time pipelines and cloud platforms on AWS, Azure, Google Cloud or Snowflake, and apply them to supply chains, plant operations, capital projects, infrastructure and new technologies on their way to scale.
How long it usually takes
6 – 12 weeks
Stated as a range. The two-week assessment narrows it.
Tools we work in
- Snowflake
- AWS
- Azure
- Google Cloud
- Databricks
- Kafka
- dbt
- Airflow
Who it’s for
You’ll recognise the situation
- Businesses whose data has outgrown spreadsheets and a single reporting database.
- Operations collecting historian, AIS or market feeds that nobody can query easily.
- Teams whose cloud bill keeps growing without a clear view of what it pays for.
How Azico can help
What this service covers
Data lakes & real-time pipelines
Raw, cleaned and modelled data layers on cloud storage, with streaming pipelines that carry sensor, market and vessel data within seconds.
Read more →02Cloud platforms
Design, build and operation on AWS, Azure, Google Cloud or Snowflake, with security, access control and costs visible by team and by pipeline.
Read more →03Supply chain excellence
Order, inventory, logistics and supplier data joined end to end, so bottlenecks, excess stock and late deliveries show up while they can still be fixed.
Read more →04Operational excellence
Plant and process data brought together to measure throughput, downtime, yield and energy use, unit by unit and shift by shift.
Read more →05Capital project support
Cost, schedule and progress data from contractors and project systems in one place, so overruns are visible in time to act on them.
Read more →06Infrastructure advisory
Independent advice on the data and digital infrastructure behind large assets, such as terminals, pipelines and data centres: what to build, where and in what order.
Read more →07Technology scale-up & commercialization
The data platform and analytics a new technology needs to move from pilot to commercial scale: performance tracking, unit economics and investor reporting.
Read more →The line, stage by stage
Large and fast-moving data, landed reliably in one platform and put to work on operations.
Azico · Big data engineering
Ingest
Connectors pull from each system on a schedule, and streams capture events — readings, prices, positions — as they happen.Land
Refine
Model
Serve
Observe
↺ Observe loop → back to Land
Our commitment
“Every figure on the platform can be traced back to the system and the record it came from.”
What changes for you
- Data that took a day to arrive is available in minutes, or seconds where it matters.
- One platform holds the history every report and model reads from.
- Failed loads are caught and reported before anyone sees a wrong number.
- Cloud costs are visible by pipeline and by team.
What you get
- +A running, monitored data platform
- +Batch and streaming pipelines with alerting
- +All code and infrastructure in your repository
- +Runbooks, cost reports and a recorded handover
What we need from you
- Access to your cloud account, or a decision on which to use
- Read access to each source system
- One person who can settle what a field means
- Your security and access requirements
Industries where this is used
Solutions
Solutions built with big data engineering
Insights
Related insights
What is a data pipeline?
How a data pipeline carries figures from plant, terminal and trading systems into one reliable store, and the signs that your business needs one.
Read now →Do you need a data warehouse?
Why a single governed warehouse matters once production, trading and finance data live in separate systems, and when to build one.
Read now →Predictive maintenance starts with the maintenance log
Sensor data shows what equipment is doing; maintenance history shows what failure looks like. Reliable predictions need both.
Read now →Talk to us about big data engineering.
Azico Analytics is a Bangalore-based team of experienced data professionals. Share how your data is managed today, how your reports are produced and the challenges you face. We will assess your requirements objectively and set out where we can add value, with a practical approach tailored to your business.