AtomHub 2.0
    Data Platforms & Engineering

    Design the platform your leaders rely on

    We consolidate pipelines, harden governance, and ship reliable, cost-efficient data layers that feed analytics and AI—without re-architecting your entire business.

    Fast

    4-16 weeks

    Secure

    DPDP/GDPR ready

    Measurable

    KPI-driven

    TB-Scale
    Real-Time
    AI-Ready
    The Problem

    Problems we solve

    Disconnected pipelines

    Duplicate effort, delays, inconsistent truth

    Brittle jobs & ad-hoc marts

    Constant firefighting, slow time-to-insight

    Inflexible platforms

    Hard to evolve for new use cases, scale, or compliance

    Low observability

    Weak lineage, unclear ownership, silent failures

    What We Ship

    Core deliverables

    Ingestion fabric

    • Batch/stream/CDC with late-arrival handling & schema evolution

    Modeled layers

    • Raw → refined → business with enforceable data contracts and SLAs

    Data quality & lineage

    • Tests, monitors, traceability across jobs, tables, and columns

    Performance & cost tuning

    • Tiered storage, pruning/partitioning, query optimization

    Observability & ops

    • SLOs, alerts, incident/runbook playbooks, error budgets

    Governance

    • RBAC/ABAC, PII controls, retention policies, audit artifacts

    Integration surfaces

    • SQL, REST, streams to feed BI, ML, and downstream apps

    Reference artifacts

    • Modeling standards, naming & contracts, IaC deployment guides
    How It Works

    Architecture flow

    1

    Ingest

    Sources (files, DBs, streams) with versioned contracts and backfills

    2

    Validate & profile

    Automated DQ checks and issue routing

    3

    Model

    Canonical entities and business-ready marts; write documentation & lineage

    4

    Optimize

    Latency and cost (storage tiers, partitioning/pruning, caching)

    5

    Expose

    Governed access (SQL/APIs/streams) to BI/AI products and apps

    6

    Operate

    SLOs, monitoring, change control, and capacity planning

    Engagement Models

    Choose your engagement

    Starter

    4–6 weeks

    Source inventory, contracts, first ingestion(s), DQ/lineage baseline, initial marts

    Get Started
    Most Popular

    Scale

    8–16 weeks

    Multi-domain modeling, automation, performance/cost tuning, production hardening

    Get Started

    Managed

    Ongoing

    SLOs, on-call, monthly resilience reviews, roadmap & optimizations

    Get Started
    Timeline

    Milestones & timeline

    Example delivery roadmap

    Weeks 0–2

    Discover

    Systems map, risks, compliance checklist, success metrics, delivery plan

    Weeks 3–6

    First Value

    Priority pipelines live, first business mart, monitors/alerts in place

    Weeks 7–12

    Scale & Harden

    Multi-domain modeling, lineage coverage, IaC deployments, cost tuning

    Success Metrics

    KPIs we target

    Time-to-data

    Ingest → query ↓

    DQ coverage & failed-to-fixed SLA

    Higher quality ↑

    Query latency / cost per query

    Performance ↓

    Lineage coverage

    Audited field-level trails ↑

    On-time loads

    Reliability ↑

    Incident MTTR

    Faster recovery ↓

    Scale

    Proof of scale

    Anonymized metrics from our engagements

    Large-batch intake

    >100 GB

    Uploads with ~200 GB efficient downloads

    Search @ scale

    TBs

    Full-text with microsecond/sub-second responses

    Audience-scale traffic

    100M+

    Platforms built for hundreds of millions of active users

    Cloud-native readiness

    Multi-cloud

    Helm/Terraform-friendly deployment patterns

    Security

    Security & compliance

    Built into every layer

    RBAC/ABAC
    PII controls
    Encryption in transit/at rest
    Data contracts & DQ gates
    Lineage & observability
    Environment isolation
    Incident playbooks
    Release hygiene
    FAQs

    Common questions

    Ready to get started?

    Design the platform your leaders will rely on

    Let's consolidate your pipelines, harden governance, and ship a reliable data platform