Data Engineering Services

Build resilient, observable pipelines that move trusted data from source to decision—at SLA.

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iconTechnology Stack
  • Airflow
  • Dagster
  • dbt
  • Kafka
  • Flink
  • Spark
  • Delta Lake
  • Iceberg
  • Hudi
  • Terraform
  • GitHub Actions
  • Great Expectations
  • Soda
  • OpenLineage

Engineering the Data Spine

Source Integration & CDC

Tooling rail: Debezium • Fivetran • connectors • schema registry

Edge: Idempotent patterns with replay and backfill safety.

ELT/ETL Orchestration

Tooling rail: Airflow/Dagster • task groups • sensors

Edge: SLA-backed DAGs with error budgets and retries.

Transformations & Data Contracts

Tooling rail: dbt • tests • exposures • contracts

Edge: Contract-first design reduces downstream breakage.

Lakehouse & Storage Patterns

Tooling rail: Delta/Iceberg/Hudi • compaction • partitioning

Edge: Cost/performance envelopes documented for FinOps.

Observability & Lineage

Tooling rail: OpenLineage • Great Expectations/Soda • metrics

Edge: End-to-end lineage wired to BI/ML consumers.

Security, Quality & Compliance

Tooling rail: KMS/HSM • tokenization • PII masking

Edge: Residency/access tiers aligned to policy-as-code.

Our Clients

Clients that trusted Us

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Methodology

Discover & Contract Data Contracts

System/SLAs mapped; contracts drafted.

Build & Harden Reliability

Pipelines with retries and observability

Operate & Optimize SRE for Data

FinOps and error budget reviews.

Reliable data, predictable SLAs

Contract-first engineering with observability and controls.

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  • CDC & orchestration at scale
  • Contract-driven transformations (dbt)
  • Lineage, DQ tests, and incident runbooks
  • FinOps-tuned storage and compute
  • Security and residency baked-in

Assurance Strip

Foundational safeguards ensuring compliance, accountability, and operational integrity.

SLAs Defining service-level agreements to ensure system reliability, performance, and accountability across AI initiatives
Lineage Tracking the origin, transformation, and flow of data for transparency, compliance, and auditing purposes
DQ Data Quality practices to ensure accuracy, completeness, consistency, and reliability of datasets
FinOps Implementing financial management strategies and operational controls to optimize cloud and AI costs

Boardroom Kit

Executive tools to govern, track, and fund AI initiatives responsibly.

Data Contract Spec Formal agreements defining schema, quality, ownership, and access rules for datasets shared across teams
SLA Runbook Operational guide detailing procedures to meet service-level agreements and ensure system reliability
Observability Map Comprehensive view of monitoring, logging, and tracing for AI systems to detect and resolve issues proactively
FinOps Guardrails Financial boundaries and policies to manage costs, optimize resources, and prevent overspending in AI operations

Get Started – AI Efficiency with
Proven Performance

Accelerate AI workloads with rigorously tested Quantum-Inspired Neuromorphic AI.

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United States

Strategemist Corporation
16192 Coastal Highway Lewes, Delaware 19958

United Kingdom

Strategemist Limited
71-75 Shelton Street,Covent Garden, London, WC2H 9JQ

India

Strategemist Global Private Limited
Cyber Towers 1st Floor, Q3-A2, Hitech City Rd, Madhapur, Telangana 500081, India

KSA

Strategemist - EIITC
Building No. 44, Ibn Katheer St, King Abdul Aziz, Unit A11, Riyadh 13334, Saudi Arabia