Marina Shehzad
@marinashehzad
Senior data engineer building scalable, secure cloud-native data platforms.
What I'm looking for
I am a Senior Data Engineer and architect with 10+ years designing cloud-native data platforms, scalable ETL/ELT pipelines, real-time streaming systems, and ML-ready data ecosystems across FinTech, Healthcare, SaaS, and Autonomous Systems. I build metadata-driven, secure-by-design lakehouse architectures and reusable infrastructure modules that improve performance, governance, and cost efficiency.
I have led cloud modernization and regulatory compliance initiatives, reduced infrastructure and compute costs, and delivered production-ready streaming and batch pipelines using tools like Spark, Kafka, Snowflake, BigQuery, Airflow, dbt, and Terraform. I prioritize reliability, observability, reproducibility, and automated testing to enable fast, safe delivery for cross-functional teams including ML, DevOps, product, and compliance.
Experience
Work history, roles, and key accomplishments
Principal Distributed Data Systems Engineer
DataNova Financial Systems
Mar 2023 - Present (2 years 11 months)
Architected large-scale distributed data systems for fraud analytics and real-time scoring, reducing recovery time by 50% and infrastructure overhead by 35% via cloud modernization and reusable IaC modules.
Senior Data Platform Architect
MediCore Analytics
Aug 2021 - Feb 2023 (1 year 6 months)
Designed a cloud-native lakehouse for healthcare (FHIR/HL7) with metadata-driven governance and ML-ready feature stores, cutting warehouse compute costs by 30% and improving PHI controls.
Real-Time Data Systems Engineer
AutoVision Systems
Jan 2019 - Jul 2021 (2 years 6 months)
Engineered real-time telemetry pipelines for autonomous vehicles using Apache Beam and Dataflow, improving BigQuery costs/performance by 35% and enabling high-quality ML inputs with anomaly detection.
Data Integration Engineer
BrightMetrics Software
Nov 2015 - Dec 2018 (3 years 1 month)
Built and maintained ELT pipelines and REST ingestion services using Python, Airflow, and AWS Glue, optimizing Redshift performance and delivering curated data marts for BI teams.
Education
Degrees, certifications, and relevant coursework
Marina hasn't added their education
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Tech stack
Software and tools used professionally
Fivetran
Apache Spark
AWS Glue
Apache Flink
Superset
GitHub
GitLab
Kubernetes
Jenkins
GitHub Actions
GitLab CI
Pandas
PySpark
Dask
Debezium
dbt
Hadoop
Gmail
Databricks
Dist
Redis
Terraform
Java
JSON
MLflow
Kubeflow
Kafka
Apache Pulsar
FastAPI
Grafana
Prometheus
OpenTelemetry
New Relic
Datadog
Amazon Kinesis
AWS Lambda
Kafka Streams
Airflow
Apache Beam
SQL
Dagster
Apache Iceberg
Ray
DataHub
Delta Lake
Great Expectations
ArgoCD
Apache Hudi
Amundsen
Collibra
Bash
Dynamic
Factory
Beam
Availability
Location
Authorized to work in
Job categories
Skills
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