Hello, I'm

Ali Bangash

Solutions Data Architect & Senior Data Engineer

11+ years designing scalable, AI-driven data platforms and ETL/ELT pipelines across healthcare, financial services, and retail. Expert in cloud-native lakehouse architectures, batch & real-time processing, and enterprise platform strategy.

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Core Technologies

AWS

Azure

Databricks

Snowflake

Spark

Kafka

Airflow

LLMs & RAG

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About Me

Passionate About Data-Driven Solutions

Data Solutions Architect with 11+ years of experience designing and building scalable, AI-driven data platforms and ETL/ELT pipelines across healthcare, financial services, and retail domains.

Hands-on expertise in developing cloud-native lakehouse architectures on AWS, Azure, and Databricks, with proficiency in Python, SQL, Apache Spark, Apache Airflow, and Kafka.

Skilled in integrating machine learning workflows, LLMs, and retrieval-augmented generation (RAG) systems to enable intelligent analytics and business insights.

Adept at leading cross-functional teams, mentoring engineers, and aligning AI and data strategies with organizational goals.

11+ Years Experience

Designing scalable data platforms across healthcare, finance, and retail sectors

Technical Expertise

Proficient in AWS, Azure, Databricks, Snowflake, Spark, Kafka, and Airflow

Leadership

Leading cross-functional teams and mentoring data engineers

AI & ML Integration

Building intelligent analytics with LLMs and RAG systems

Core Expertise

Cloud Platforms

AWS (S3, EMR, Glue, Redshift, Lambda, SageMaker)Microsoft Azure (Data Factory, Synapse, ADLS, Azure ML)Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Vertex AI)DatabricksSnowflakeMicrosoft FabricKubernetes (EKS/AKS/GKE)Docker

Data Engineering & ETL

Apache AirflowApache NiFiTalendInformaticadbtSSISPentahoAlteryxBatch & Real-Time PipelinesWorkflow Orchestration

Big Data Technologies

Apache Spark (PySpark, Spark SQL)KafkaHadoopHiveHDFSHBasePresto/Trino

Stream Processing

Spark StreamingKafka StreamsAWS KinesisApache Flink

Databases & Vectors

PostgreSQLMySQLSQL ServerOracleMongoDBCassandraRedisAmazon RedshiftBigQueryVector Databases (Pinecone, Weaviate, FAISS)

AI/ML & LLMs

Scikit-learnTensorFlowPyTorchMLflowFeature EngineeringModel DeploymentMLOpsLLM IntegrationRetrieval-Augmented Generation (RAG)LangChainLlamaIndex

Data Governance & Architecture

Data Quality ManagementMetadata ManagementData Lineage & CatalogingData Lake & Lakehouse ArchitectureDelta LakeData Governance FrameworksData Mesh Concepts

Platform & Visualization

TableauPower BIAmazon QuickSightPlotlyMatplotlibMicroservicesAPI DesignInternal Data PlatformsSelf-Service Analytics

Programming & Tools

PythonSQLScalaJavaBashPandasNumPyREST APIsJiraConfluenceAgile/Scrum

Domain & Leadership

Healthcare (EHR/EMR, HL7, FHIR, HIPAA)Financial Services & Fraud AnalyticsRetail & Supply Chain AnalyticsReal-Time Streaming PlatformsTeam Leadership & MentoringArchitecture StrategyEnterprise Delivery

Professional Experience

Career Journey

Over 11 years of progressive experience in data engineering and architecture, leading complex projects across multiple industries.

Data Solutions Architect

ScienceSoft

Remote

FEB 2024 – PRESENT

Designed and delivered end-to-end data solutions on AWS and Azure, aligning architecture with business requirements across healthcare and financial domains.

Translated business needs into scalable data architectures, enabling efficient data ingestion, transformation, and analytics workflows.

Defined and implemented lakehouse solutions using S3, Databricks, and Snowflake to support both batch and real-time analytics use cases.

Architected intelligent data access solutions by integrating structured datasets with large language model-based querying.

+4 more achievements

Lead Data Engineer

NexHealth

San Francisco, CA

APR 2021 – JAN 2024

Engineered scalable healthcare pipelines processing EHR and claims datasets with Apache Spark, Python, and Airflow, enabling near real-time analytics for clinical reporting and population health insights.

Orchestrated HL7 and FHIR ingestion frameworks with Apache NiFi and Kafka, consolidating patient, provider, and clinical records from multiple hospital systems.

Architected a cloud-based lakehouse architecture on AWS (S3, Glue, Redshift) and Databricks, leveraging Delta Lake to support large-scale healthcare analytics and regulatory reporting.

Implemented HIPAA-compliant data governance frameworks, including encryption, access controls, and metadata management using AWS Glue Data Catalog and lineage tracking.

+3 more achievements

Senior Data Engineer

SentiLink

New York, NY

JAN 2019 – MAR 2021

Developed large-scale batch and streaming data pipelines using Apache Spark, Kafka, and Hadoop, processing millions of financial transactions for fraud detection and risk analysis.

Built and optimized distributed data storage solutions using HDFS, Amazon S3, and Hive, enabling scalable analytics across multi-terabyte financial datasets.

Designed data warehouse solutions using dimensional modeling and Kimball methodology, improving financial reporting performance and supporting real-time business intelligence.

Automated ETL workflows using Apache Airflow and Talend, enabling seamless ingestion from transactional systems into Amazon Redshift and Snowflake.

+3 more achievements

ETL & Data Warehouse Engineer

FourKites

Chicago, IL

JAN 2015 – DEC 2018

Developed and maintained enterprise ETL pipelines using Informatica, Talend, and SSIS, integrating high-volume retail and POS datasets into centralized warehouse systems.

Designed scalable data warehouse architectures (Star & Snowflake schemas) enabling advanced analytics for supply chain and sales performance.

Led migration of on-premise data systems to AWS and BigQuery, improving scalability and reducing infrastructure costs.

Built data ingestion pipelines using Apache NiFi, enabling near real-time data flow for inventory and sales tracking.

+3 more achievements

Featured Projects

Recent Work & Achievements

A selection of impactful data platform projects that demonstrate expertise in scalable architecture and innovative solutions.

HealthTech Analytics Platform

Real-Time Healthcare Data Lakehouse

Designed a scalable healthcare lakehouse on AWS S3 and Databricks using Delta Lake, ingesting HL7/FHIR clinical data from multiple hospital systems.

Technologies Used

AWS S3DatabricksDelta LakeApache SparkAirflow

Key Achievements

Multi-hospital EHR integration
Population health analytics
Clinical reporting automation

FinTech Data Platform

Streaming Fraud Detection & ML Feature Store

Developed real-time streaming pipelines using Kafka, Spark Streaming, and Snowflake to process high-volume financial transactions for fraud detection.

Technologies Used

KafkaSpark StreamingSnowflakeDatabricksMLflow

Key Achievements

Real-time fraud detection
ML feature engineering pipeline
Risk analytics dashboard

Retail Intelligence Hub

Customer Analytics & Recommendation Engine

Built a comprehensive retail analytics platform processing customer behavior data, inventory metrics, and sales patterns for personalized recommendations.

Technologies Used

Azure SynapseDatabricksPythonTensorFlowPower BI

Key Achievements

Customer segmentation models
Real-time inventory optimization
Personalized recommendation system

Interested in seeing more of my work?

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Certifications

Microsoft Certified: Azure Data Engineer

DP-203

Databricks Certified Data Engineer Professional

Professional

AWS Certified Data Analytics

Specialty

Google Professional Data Engineer

Professional

Get In Touch

Let's Work Together

Interested in discussing data architecture, engineering challenges, or potential opportunities? I'd love to connect and explore how we can collaborate.

Contact Information

alibangash.work@gmail.com

I typically respond to messages within 24 hours. For urgent inquiries, please call directly.