Aanas Naveed
@aanasnaveed
I build cloud-native lakehouse and streaming platforms for analytics, machine learning, and product teams.
What I'm looking for
At Eemedix, I design and operate a cloud-native lakehouse platform with Databricks, Delta Lake, and Apache Kafka for multi-tenant SaaS analytics and product use cases. I build real-time event-driven pipelines with AWS Lambda, Amazon Kinesis, and Spark Streaming, while modernizing legacy ETL into scalable dbt and Snowflake ELT frameworks.
Previously at RetailMetrix, I architected retail analytics platforms using Apache Spark, Apache Flink, Snowflake, Kafka, and Delta Live Tables. I led cross-functional engineering squads and established data quality, observability, and domain-oriented modeling practices for merchandising, inventory, and supply-chain teams.
At Cohere Health and CoastPay, I built HIPAA-compliant healthcare pipelines and secure financial transaction platforms. My work covered HL7, FHIR, EHR data, fraud detection, payment reconciliation, machine learning pipelines, data governance, and regulatory reporting.
I focus on reliable, governed data systems that balance performance, cost, and long-term maintainability. I've delivered lakehouse modernization, real-time streaming, healthcare interoperability, and fraud analytics solutions across AWS, GCP, and Azure.
Experience
Work history, roles, and key accomplishments
Staff Data Engineer
Eemedix
Jul 2023 - Present (3 years 1 month)
Designed and operated a cloud-native lakehouse platform using Databricks, Delta Lake, and Apache Kafka. Modernized legacy ETL workflows into scalable ELT frameworks using dbt and Snowflake, and owned the data engineering roadmap.
Lead Data Engineer
RetailMetrix
Nov 2019 - May 2023 (3 years 6 months)
Architected and operated large-scale retail analytics platforms processing multi-source consumer, behavioral, and transactional data. Built and standardized ELT frameworks with dbt and Microsoft Fabric, and led cross-functional engineering squads.
Senior Data Engineer
Cohere Health
Apr 2017 - Oct 2019 (2 years 6 months)
Designed and maintained HIPAA-compliant data pipelines integrating HL7, FHIR, and EHR sources. Built scalable clinical data marts using Google BigQuery, dbt, and Apache Airflow, and implemented medical coding and claims analytics.
Data Engineer
CoastPay
Jan 2015 - Feb 2017 (2 years 1 month)
Built secure batch and streaming data pipelines using Apache Spark, Apache Kafka, and Amazon Redshift to process high-volume financial transactions. Developed scalable ETL workflows supporting fraud detection and payment reconciliation.
Education
Degrees, certifications, and relevant coursework
Bachelor of Science in Computer Science
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science.
Tech stack
Software and tools used professionally
Amazon Redshift
Fivetran
Apache Spark
AWS Glue
Apache Flink
Amazon Quicksight
Microsoft Azure
Google Cloud Platform
Amazon S3
AWS Step Functions
GitHub
GitLab
Bitbucket
Kubernetes
Jenkins
GitHub Actions
GitLab CI
NumPy
Pandas
dbt
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
Databricks
Redis
Terraform
Jira
JavaScript
Java
JSON
TensorFlow
PyTorch
MLflow
scikit-learn
Kafka
Apache NiFi
Grafana
Prometheus
Amazon DynamoDB
Linux
GraphQL
Amazon Kinesis
Elasticsearch
Avro
Ansible
AWS Lambda
Airflow
Google BigQuery
Amazon EMR
SQL
Amazon SageMaker
SciPy
Clickhouse
Apache Iceberg
Delta Lake
Great Expectations
Apache Hudi
Collibra
Bash
Deequ
Microsoft Fabric
Seaborn
Availability
Location
Authorized to work in
Job categories
Skills
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