Zulfiqar Ali Zaidi
@zulfiqaralizaidi
Senior data engineer and solution architect delivering compliant lakehouse, streaming, and AI pipelines at enterprise scale.
What I'm looking for
I’m a Senior Data Engineer and Solution Architect with 12+ years designing enterprise-scale data platforms, real-time streaming pipelines, and HIPAA/HITRUST-compliant lakehouse systems across healthcare, financial services, retail, and SaaS. I’ve delivered $2M+ in annual cloud savings, processed 2.3M+ patient records daily, and led zero-downtime petabyte-scale migrations—translating complex architecture decisions into measurable business outcomes.
I build modern data foundations end-to-end: Spark/Databricks and Delta Lake for scalable lakehouse workloads, Kafka/Debezium/Flink for exactly-once real-time processing, and dbt/DataOps automation to improve reliability. Recently, I’ve also designed LangChain RAG pipelines and multi-agent AI workflows for clinical data products, while leading data mesh and federated governance rollouts that reduced domain onboarding from 6 weeks to 48 hours and improved delivery velocity by 40% through hands-on mentorship.
Experience
Work history, roles, and key accomplishments
Designed and delivered LangChain RAG pipelines and multi-agent AI workflows for clinical data products, reducing clinical query response time by 55%. Built an internal self-serve data platform adopted by 8 engineering teams and deployed an Apache Flink CEP engine on AWS EMR processing 500K+ events/hour with sub-3-second latency and 44% fewer false-positive alerts.
Architected a HIPAA/HITRUST-compliant 12-petabyte Databricks healthcare lakehouse ingesting 2.3M+ patient records daily, enforcing PHI/PII governance with Unity Catalog. Built Kafka + Debezium CDC pipelines extended with Apache Flink for 500K+ events at sub-5-second latency, led zero-downtime 12PB migrations, and cut model deployment time by 60% while improving clinical NLP accuracy by 30%.
Architected a real-time risk analytics platform processing 15M+ daily financial transactions using Kafka-based streaming with Debezium CDC across AWS and Azure, with end-to-end TLS and VPC-isolated flows. Implemented SOX-compliant audit logging and CPRA/GDPR data lifecycle controls via Collibra MDM, reducing regulatory reporting time by 65%, and modernized legacy ETL workflows into an Airflow + db
ETL & Data Warehouse Eng
PBG
Jan 2014 - Dec 2016 (2 years 11 months)
Designed a centralized customer analytics data warehouse using Data Vault 2.0 on Snowflake, consolidating data from 12+ SaaS sources and reducing analytical reporting latency by 60%. Built real-time pipelines for 2M+ e-commerce events daily using AWS Lambda and Kinesis Firehose, optimized SQL workloads to reduce database CPU by 35% and improve query response time by 50%, and automated environment
Education
Degrees, certifications, and relevant coursework
Zulfiqar Ali hasn't added their education
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Tech stack
Software and tools used professionally
Amazon Redshift
Airbyte
Fivetran
Azure Synapse
Apache Spark
AWS Glue
Apache Flink
Talend
Superset
Dataform
Amazon Quicksight
AWS IAM
Amazon S3
GitHub
GitLab
Kubernetes
Jenkins
CircleCI
GitHub Actions
GitLab CI
PySpark
Debezium
dbt
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
HBase
Gmail
Rollout
Databricks
Neo4j
Redis
Terraform
Azure DevOps
Java
PowerShell
TensorFlow
PyTorch
MLflow
scikit-learn
Kafka
Apache NiFi
Grafana
Prometheus
OpenTelemetry
Elasticsearch
OpenSearch
Protobuf
Avro
Ansible
AWS Lambda
KSQL
pytest
Airflow
Apache Beam
GuardRails
Google BigQuery
SQL
AWS KMS
Clickhouse
Dagster
Apache Iceberg
LangChain
Foundry
Pinecone
Monte Carlo
DataHub
Delta Lake
Great Expectations
Trino
Apache Hudi
Starburst
Collibra
Argo CD
Bash
Marquez
Apache Paimon
Faiss
LangGraph
Microsoft Fabric
OpenLineage
Column
Unity Catalog
Factory
Beam
Remote
Jan
Microsoft Purview
Seaborn
Availability
Location
Authorized to work in
Job categories
Skills
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