LINEAR ANALYTICS GROUP

Your Enterprise. Integrated.

Principal-level integration architecture connecting Microsoft Dynamics, Azure, and legacy data ecosystems. Precise, secure, and built for high-impact enterprise engagements.

Core Technical Capabilities100% IDEMPOTENT

Cloud Compute Optimization

Refactor cloud data flows into centralized T-SQL stored procedures to lower execution overhead and costs.

Parity Across Environments

Guarantee consistent database and configuration state, preventing drift and runtime errors.

Dynamic Security Delivery

Securely provide credentials and certificates to pipelines at runtime, avoiding hard-coded risk.

Resilient Data Flows

Create idempotent integration middleware that adaptively scales to meet demand.

Python 3.13OData v4pac CLI

inventory-sync-engine / dataverse_sync_runner.py

MYPY STRICT: 100% PASS

Cloud Compute Optimization

Refactor cloud data flows into centralized T-SQL stored procedures to lower execution overhead and costs.

Parity Across Environments

Guarantee consistent database and configuration state, preventing drift and runtime errors.

Dynamic Security Delivery

Securely provide credentials and certificates to pipelines at runtime, avoiding hard-coded risk.

Resilient Data Flows

Create idempotent integration middleware that adaptively scales to meet demand.

Python 3.13OData v4pac CLI

"""Idempotent, thread-pooled Dataverse sync."""
class DataverseSyncRunner(
    InventoryDomainMixin,
    BaseODataSyncRunner,
):

    def __init__(
        self,
        source: RecordSource,
        write_window_size: int = 25,
    ) -> None:
        super().__init__(source, write_window_size)
        self._breaker = ConsecutiveFailureCircuitBreaker(
            failure_threshold=5,
        )

    def upsert(self, record: dict[str, Any]) -> None:
        if self._breaker.is_open():
            return
        key = record["lagsol_ExternalSKUID"]
        self.client.patch(
            f"inventoryset(lagsol_ExternalSKUID='{key}')",
            payload=record,
        )

Enterprise Ecosystem Integration

Build robust, scalable connections between D365, Dataverse, and your entire software ecosystem.

Enterprise EcosystemHigh-Throughput PipelinesEcosystem Modernization

Cloud & Compute Optimization

Refine Azure pipelines and database strategies for reduced cost and peak system performance.

Refine Azure PipelinesDatabase StrategiesCompute Reduction

Identity & Compliance Governance

Enforce Zero-Trust access and automate identity lifecycle management to mitigate organizational risk.

Governance & Risk MitigationZero-Trust Access

15+ Years Industry Experience

The Zero-Translation-Gap Advantage.

Most integration projects fail due to miscommunicated business domain rules, not syntax. Combining 15+ years as a Product Owner, Technical Analyst, and Systems Analyst with pro-code engineering guarantees your data engines align precisely with business goals.

Business Domain & Requirements Elicitation

Deep expertise uncovering actual business drivers, writing clear technical specs, and mapping complex workflows without middle-tier translators.

Single Point of Accountability

Complete end-to-end execution: walk into stakeholder rooms, design the solution architecture, and engineer the pro-code Python and Dataverse pipeline.

ROI & Cloud Compute Optimization

Engineered for financial efficiency—refactoring data flows, optimizing SQL pipelines, and structurally lowering monthly Azure operational costs.

Engage Consultancy Services

Direct contracting & high-ticket advisory engagements