Overview
Technical skills
Timeline
Roles

Overview

Lead Data Engineer and Data Platform Architect with 10+ years of experience designing and building cloud-native data platforms. Builds batch and streaming pipelines and lakehouse-style architectures using Snowflake, BigQuery, Apache Spark, Kafka, Airflow, and Databricks, with a focus on data modeling, governance, and monitoring. Has led engineering efforts to deliver scalable enterprise data solutions for analytics and machine learning use cases.

Technical skills

Scala
Java
Python• Senior • 10y+
SQL• Senior • 10y+
Python
pySpark
Databases
Amazon Redshift
Apache Hudi
Apache Iceberg
Cassandra
Delta Lake
DynamoDB
ElasticSearch
FAISS
Pinecone
MySQL• 10y+
PostgreSQL• 10y+
Apache Kafka• 7y+
Databricks• 7y+
Snowflake• 7y+
Google BigQuery• 3y+
AI/ML
Feast
Flink
Kubeflow
LLM
MLFlow
Prefect
RAG
Hadoop• 10y+
Spark• 10y+
Airflow• 7y+
dbt• 3y+
Anomaly Detection
Frontend
GraphQL
DevOps
Amazon EKS
AWS CDK
AWS Lambda
Azure
CI/CD
Docker
GCP
GitHub Actions
GitLab CI
Harbor
Helm
Jenkins
Kubernetes
Prometheus
Pulumi
Rest API
Terraform
Vector
AWS• 3y+
Datadog• 3y+
Grafana• 3y+
OpenTelemetry• 3y+
Cybersecurity
GDPR
Analytics
Power BI
Tableau

Timeline

Lead Data Engineer Lead
Tealium Full-Time
Jan 2023 to Present 3 Years 8 Months In office
Architected enterprise customer data platforms on cloud infrastructure, integrating interaction, behavioral, and transactional sources into Snowflake and BigQuery to support near real-time customer intelligence. Designed and implemented batch and streaming pipelines using Kafka, Spark, Airflow, Python, and SQL, enabling large-scale Customer 360, segmentation, and journey analytics. Built ELT frameworks with dbt and automated ingestion, and implemented governance controls and monitoring to improve reliability and reduce operational effort.
AWS
Apache Kafka
Spark
Airflow
Python
SQL
Google BigQuery
Snowflake
Databricks
dbt
Datadog
Grafana
OpenTelemetry
Senior Data Engineer Senior
Alteryx Full-Time
Mar 2019 to Dec 2022 3 Years 9 Months In office
Planned and implemented scalable ETL/ELT workflows for enterprise analytics automation using Spark, Python, Airflow, Snowflake, and Databricks. Enhanced both batch and streaming processing with Kafka and SQL to deliver trusted data for reporting and operational decision-making. Built dimensional models and data marts to improve reporting performance and consistency, and standardized reusable ETL libraries and metadata-driven frameworks.
Spark
Python
Airflowsince 2019
Snowflakesince 2019
Databrickssince 2019
Apache Kafkasince 2019
SQL
Big Data Engineer Middle
Wavicle Data Solutions Full-Time
May 2016 to Feb 2019 2 Years 9 Months In office
Created enterprise ETL pipelines and large-scale data integration solutions using Python, SQL, Spark, Hadoop, and relational databases. Developed data validation, transformation, and quality assurance frameworks to improve reporting accuracy across many internal stakeholders. Applied dimensional modeling and optimized distributed processing workflows, and supported migration and production operations to reduce recurring pipeline issues.
Pythonsince 2016
SQLsince 2016
Sparksince 2016
Hadoop
PostgreSQL
MySQL