SERVICE_SPEC // DATA & ANALYTICS

Data Engineering & Lakehouse Platforms

Scalable Medallion lakehouses, custom connectors, and robust batch/streaming pipelines.

We build robust, metadata-driven data platforms on Azure Databricks, Delta Lake, and Google BigQuery. From custom Airbyte connectors to reverse ETL, we turn raw silos into unified analytical engines.

ENGINEERING SLAProduction-Hardened

SECURITY BOUNDARYZero-Trust / RBAC

INTEGRATIONOpenAPI & CI/CD

STATUSVERIFIED READY

ARCHITECTURAL REFERENCE SPECIFICATION

Engineering Stack & Standards

Technical Capabilities

Processing & Engines

PythonPySparkApache SparkDelta LakeApache Kafka

Cloud Data Platforms

Azure DatabricksAzure Data Lake Storage (ADLS Gen2)Google BigQueryAzure Data Factory

Pipeline & Architecture Patterns

Medallion Architecture (Bronze / Silver / Gold)Metadata-Driven ELTChange Data Capture (CDC)Incremental Stream & Batch Processing

Ingestion & Reverse ETL

Airbyte Custom Source Connectors (Python CDK)REST / Webhook IngestionReverse ETL to Operational SystemsData Quality & Schema Enforcement

Architectural Focus & Engineering Guarantees

01.ACID transactions over object storage with Delta Lake and Time Travel auditing

02.Three-tier Medallion architecture ensuring continuous raw preservation and sanitized analytical layers

03.Partitioning and Z-Ordering optimization reducing query scanning costs by up to 80%

04.Fault-tolerant streaming checkpoints ensuring exactly-once processing guarantees

Concrete Deliverables

What You Receive

DELIVERABLE_01

Automated Medallion Pipeline Codebase

PySpark notebooks or modular Python scripts with parameter-driven execution and logging.

DELIVERABLE_02

Production Airbyte Connector Package

Dockerized, CDK-compliant Airbyte custom connectors with authentication and schema pagination.

DELIVERABLE_03

Orchestration & Workflow DAGs

Databricks Workflows or Airflow DAG configurations with alerts, retries, and SLA monitors.

DELIVERABLE_04

Data Dictionary & Schema Catalog

Complete documentation of tables, types, update frequencies, and lineage mappings.

Genuine Proof of Experience

Related Engineering Case Studies

View all 7 case studies →

Connector DevelopmentVerified Architecture

Custom Airbyte Advertising Data Connectors

Engineered robust Airbyte source connectors for non-standard advertising platforms with resilient rate-limit handling.

Python 3.10Airbyte Python CDKDockerRESTful APIsOAuth2 Token Refresh Flow

Inspect System Data Flow & Architecture

Lakehouse ArchitectureVerified Architecture

Azure Databricks Medallion Data Platform

Architected a scalable Medallion Lakehouse on Azure Databricks and ADLS Gen2 with Delta Lake ACID guarantees.

Azure DatabricksDelta LakePySparkApache SparkAzure Data Lake Storage (ADLS Gen2)

Inspect System Data Flow & Architecture

Warehouse & Operational AnalyticsVerified Architecture

BigQuery ETL & Reverse ETL Pipelines

Engineered scalable Google BigQuery ETL workflows and automated reverse ETL data synchronization.

Google BigQueryPythonSQL (BigQuery Procedural)Google Cloud FunctionsCloud Pub/Sub

Inspect System Data Flow & Architecture

Engagement Options

How We Partner With You

Full Implementation

Lakehouse Build & Deployment

Greenfield deployment or migration from legacy warehouse to Azure Databricks Delta Lake or BigQuery.

ADLS / BigQuery provisioning

Bronze/Silver/Gold PySpark pipelines

Automated daily test suites

Best For:Companies with disparate data silos seeking unified BI and ML readiness.

Specialized Task

Custom Ingestion Connector Sprint

Rapid engineering of bespoke Airbyte connectors for proprietary or niche advertising/SaaS APIs.

Connector source code

Docker image registry push

Airbyte Cloud / OSS integration verification

Best For:AdTech, marketing agencies, and aggregators blocked by lack of native connectors.

Performance & Cost

Pipeline Optimization & Cost Audit

Deep-dive audit into Databricks cluster sizing, Spark shuffling, BigQuery slot utilization, and query plan tuning.

Cluster rightsizing guide

Optimized partitioning & liquid clustering

Query rewrite diffs

Best For:Enterprises facing ballooning cloud compute costs and slow query times.

Direct Project Scoping

Request a Technical Proposal for Data Engineering & Lakehouse Platforms

Submit your architectural objectives or repository challenge. We provide direct engineering reviews, milestone breakdowns, and honest estimates.

[TECHNICAL_ASSURANCE]

No commission-driven sales tactics. Every proposal is drafted and scoped by senior backend and data systems engineers.