BY
Bria Yasir

Data Solutions Architect

0%

Enterprise Data Solutions Architect

Bria Yasir

🟢Architecting Enterprise Solutions | Available for Strategic Advisory

Designing High-Throughput, Resilient Architectures That Turn Mass Data Into Enterprise Intellect.

DataSolutionsArchitect

Download Dossier (PDF)
01

Executive Summary

Enterprise data architecture footprint across regulated industries and multi-cloud platforms.

Architecture Footprint

10+

Years

Designing lakehouses, streaming pipelines, and governed data products

40%

Migration Efficiency

3

Cloud Platforms

Core Domains

Healthcare

HIPAASOC 2GDPRHL7/FHIR

Finance

SOC 2EncryptionRBAC/ABACAudit Logging

Multi-Cloud Synthesis

Databricks · Snowflake
AWS
Azure
GCP

AWS · Azure · GCP interconnected via Spark, Kafka, and Palantir Foundry

Platform Stack

Databricks · Snowflake · Palantir Foundry · Apache Spark · Kafka · Delta Lake

DataOpsLakehouseStreamingGovernance
02

Career Pipeline

Data mesh timeline — full architectural histories across enterprise engagements.

03

Technical Capabilities

Layered expertise across data engineering, streaming, governance, and enterprise architecture.

128+Capabilities Mapped

Programming & Scripting

8
Python (ETL automation, PySpark, data validation, APIs)SQL (advanced query optimization, CTEs, window functions)ScalaJavaBash/Shell scriptingJSONYAMLNode.js (Backend development, REST APIs, data services for ETL/ELT integration)

Data Engineering

14
Apache SparkPySparkDatabricksApache FlinkApache KafkaSpark StreamingStructured StreamingApache BeamApache AirflowLuigiAWS GlueAzure Data FactoryGoogle DataflowPalantir Foundry

ETL / ELT

10
dbtTalendApache NiFiInformaticaSSIS (legacy package handling, migration planning to modern frameworks)MatillionDataStageAzure Synapse PipelinesAWS Glue JobsGreat Expectations (data validation)

Data Architecture

8
Lakehouse ArchitectureData VaultKimball & Inmon methodologiesStar & Snowflake schemasDomain-Driven DesignBronze–Silver–Gold architectureDimensional ModelingSemantic Layer Design

Data Warehousing

13
SnowflakeDatabricks Delta LakeAmazon RedshiftGoogle BigQueryAzure Synapse AnalyticsApache HivePrestoTrinoParquetORCAvroApache IcebergPalantir Ontology & Data Products

Streaming Technologies

9
Apache KafkaAWS KinesisAzure Event HubsApache FlinkSpark StreamingGoogle Pub/SubAWS LambdaDebezium (CDC)StreamSets

Databases

11
PostgreSQLOracleSQL ServerMySQLMongoDBCassandraDynamoDBNeo4j (Graph)HBaseElasticsearchInfluxDB (time-series)

Cloud Platforms

3
Microsoft Azure (Data Factory, Synapse Analytics, Databricks, Blob Storage, Event Hubs, Logic Apps, Key Vault)Amazon Web Services (S3, Glue, EMR, Lambda, Redshift, Kinesis, Athena, CloudFormation)Google Cloud Platform (BigQuery, Dataproc, Dataflow, Pub/Sub, Cloud Composer, Cloud Functions)

Data Governance

14
Apache AtlasAlationCollibraGreat ExpectationsData LineageData CatalogingRBAC/ABACPII/PHI maskingencryptionaudit loggingPalantir governance workflowsHIPAAGDPRSOC 2

DevOps & Automation

11
TerraformPulumiAnsibleJenkinsAzure DevOpsGitHub ActionsGitLab CI/CDDocker (containerization for ETL pipelines and modernization of SSIS workflows)Kubernetes (AKS, EKS, GKE)Infrastructure as Code (IaC)Observability & Monitoring (Prometheus, Grafana)

Analytics & ML

11
BI-ready data martsfeature store designMLflowmodel deployment pipelinesScikit-learnTensorFlowPower BITableauLookerQlik SenseAI/ML integration with Databricks

Healthcare Data Engineering

9
FHIRHL7EHR/EMR integrationHIPAA-compliant data pipelinesclinical & claims data processingpatient outcome analyticspredictive healthcare modelingreal-time IoT data processing (sensors & devices)risk stratification pipelines

Leadership & Collaboration

7
Agile & Scrum methodologiescross-functional stakeholder managementsolution architecture designtechnical mentorshipcloud migration strategyDataOps implementationdocumentation & knowledge sharing
04

Architecture Showcases

Enterprise data platforms — system abstracts, pipeline diagrams, and business value matrices.

HEALTHCARE

Real-Time Healthcare Intelligence Platform

A governed, real-time clinical intelligence platform processing HL7/FHIR, IoT telemetry, and EHR data streams to deliver near real-time patient monitoring, predictive analytics, and risk stratification at enterprise scale.

  • Engineered a real-time data platform to process HL7/FHIR, IoT, and clinical data streams, enabling near real-time patient monitoring and insights.
  • Built scalable streaming pipelines using Kafka and Spark Structured Streaming, reducing event-to-insight latency significantly.
  • Designed a lakehouse architecture (Delta Lake) to unify batch and streaming data for BI and ML workloads.
  • Enabled predictive analytics use cases by delivering ML-ready datasets and integrating model tracking with MLflow.
View on GitHub
05

Credentials

Industry-validated expertise in cloud data engineering, architecture, and data management.

GCP

Certified Data Engineer – Google Cloud Professional

Google Cloud

DB

Databricks Certified Data Engineer Professional

Databricks

AWS

AWS Certified Solutions Architect

Amazon Web Services

CDMP

Certified Data Management Professional (CDMP)

DAMA International

06

Education

Bachelor of Science in Computer Science

Academic
07

Contact

Frictionless access for strategic advisory, architecture reviews, and enterprise engagements.

Email

briayasir2@gmail.com

Phone

(215) 650-3625

Location

Dayton, OH 45401, USA

LinkedIn

bria-bushra-yasir

GitHub

Briayasir
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