gaurhari dass
@gaurharidass
I build high-throughput data, fraud detection, and cloud analytics platforms.
What I'm looking for
I've built fraud detection and metadata analytics platforms at Amazon, Quantexa, and American Express, using Kafka, Spark, Snowflake, dbt, and Streamlit to process high-volume data and improve governance.
At Quantexa, I architected financial transaction pipelines reaching 1.5M events per second, reduced false positives by 20%, improved search performance by 30%, and strengthened fraud detection through entity resolution, network scoring, and contextual analytics.
Across EMBL-EBI, Samsung, Rivigo, and other data-intensive environments, I've delivered multi-omics, IoT, logistics, retail, and user analytics systems. I bring 14+ years of experience spanning Java, Scala, Python, cloud infrastructure, machine learning, data lineage, governance, and high-availability engineering.
Experience
Work history, roles, and key accomplishments
Led the design and implementation of a scalable metadata analytics platform using Snowflake, dbt, and Streamlit, supporting large-scale image and document metadata processing for internal analytics and governance.
Education
Degrees, certifications, and relevant coursework
Dr. B.R. Ambedkar National Institute of Technology, Jalandhar
Bachelor of Technology, Computer Science and Engineering
Bachelor's Degree in Computer Science and Engineering, graduated in June 2010.
Tech stack
Software and tools used professionally
Amazon Redshift
Apache Spark
Apache Flink
Google Cloud Storage
GitHub
Kubernetes
Jenkins
GitHub Actions
NumPy
Pandas
PySpark
dbt
Sqoop
PostgreSQL
MongoDB
Hadoop
HBase
Spring Boot
.NET
Yarn
Neo4j
Redis
Terraform
Azure DevOps
Jira
AngularJS
JavaScript
Java
ASP.NET
JSON
XML
Streamlit
H2O
PredictionIO
Google Maps
Kafka
RabbitMQ
MQTT
Grafana
Kibana
Prometheus
Ambari
Ubuntu
Linux
Windows
Datadog
Amazon Kinesis
Elasticsearch
OpenSearch
Lucene
Kafka Streams
Airflow
Apache Beam
Time Analytics
Google BigQuery
SQL
Azure Blob Storage
Clickhouse
Collibra
Argo CD
100ms
Rig
Factory
Beam
Availability
Location
Authorized to work in
Job categories
Skills
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