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Multiple Source Integration (system/data)

API/webhook orchestration, CDC & streaming, quality checks, and auditable governance—ready for dashboards.

Unify apps and data scattered across SaaS platforms, legacy systems, and databases into reliable, observable flows. We design and operate multi-source integration that’s secure, testable, and auditable—from API/webhook orchestration to CDC and stream processing—so downstream analytics and applications stay consistent.

Key Benefits

Single Source of Truth: Consistent entities across appsSingle Source of Truth:

Fresher Data: CDC/streaming + SLAsFresher Data:

Lower Breakage: Contracts, tests, retries & DLQsLower Breakage:

Secure by Design: Least-privilege, encryption, audit trailsSecure by Design:

Leadership Visibility: Freshness & failure dashboardsLeadership Visibility:

What We Deliver

  1. Integration Blueprint: systems map, data domains, event/catalog inventory, and dependency graph.
  2. Data Contracts & Schemas: OpenAPI/JSON Schema, versioning strategy, compatibility rules.
  3. Pipelines (Batch & Streaming): ETL/ELT, CDC, fan-in/fan-out, enrichment, and SCD handling.
  4. Quality & Reconciliation: dedupe, referential checks, drift detection, golden record/MDM options.
  5. Security & Governance: RBAC/ABAC, encryption, secrets, lineage, and evidence exports.
  6. Runbook & SLAs: on-call procedures, DLQs, retry policies, and RTO/RPO targets.

Integration Patterns

  1. API Orchestration: REST/GraphQL calls with backoff, idempotency, pagination, and rate-limit awareness.
  2. Event-Driven: webhooks → event bus → consumers; exactly-once goals via idempotent keys and dedupe windows.
  3. Streaming: append-only logs, windowed aggregations, and CDC from OLTP sources.
  4. Batch Windows: scheduled extractions with change flags and checksum validation.
  5. Sync vs. Async: request/response for critical paths; async for heavy transforms.

Data Modeling & MDM

  1. Domain Models: normalize entities (Account, Order, Case, User) with ownership and stewardship.
  2. Identity Resolution: keys, fuzzy matching, survivorship rules, and golden record creation.
  3. Slowly Changing Dimensions: SCD1/2 for history; late-arriving data handling.

Security, Privacy & Compliance

  1. PII Controls: field-level encryption/tokenization, masking in non-prod, consent/retention rules.
  2. Access: SSO/MFA, scoped tokens, key rotation, and secrets hygiene.
  3. Auditability: lineage, approvals, and exportable logs for reviews.
CERTIFICATIONS

Observability & Reliability

  1. Telemetry: metrics (throughput, lag, success/error rate), structured logs, trace spans across hops.
  2. Health & SLAs: freshness budgets, SLO burn rates, auto-escalations, and DLQ triage.
  3. Release Markers: versioned deployments tied to data drift alarms and rollback paths.

Delivery Approach

  1. Assess sources, volumes, and constraints; define target outcomes and SLAs.
  2. Design contracts, topology, and security posture; pick batch/stream mix.
  3. Build pipelines with tests, backfills, and replay safety.
  4. Validate quality & lineage; reconcile totals and edge cases.
  5. Operate with dashboards, alerts, and continuous improvements.

FAQs

Ready to Make Your Systems Talk?