
Prayag Nikul Nikul Purani
@prayagnikulnikulpura
I build real-time data platforms and analytics pipelines for fintech and telecom.
What I'm looking for
At Chime, I build real-time financial transaction pipelines with Apache Flink and Google Cloud Pub/Sub, processing nearly twelve million daily card events for fraud monitoring and risk analytics.
I develop governed lakehouse and ELT solutions using BigQuery, Trino, Apache Iceberg, Google Cloud Storage, and Great Expectations. My work has reduced reconciliation discrepancies by 24%, fraud analytics query times by nearly 29%, and reporting turnaround by 35%.
Previously at LTIMindtree, I built telecom ingestion, Spark, Databricks, dbt, Azure Synapse, and Delta Lake workflows supporting revenue assurance and customer analytics. I also automate production deployments and infrastructure with Airflow, Kubernetes, Docker, Terraform, Git, and CI/CD.
Experience
Work history, roles, and key accomplishments
Engineered real-time financial transaction ingestion pipelines using Apache Flink and Google Cloud Pub/Sub, processing nearly twelve million daily card events into BigQuery datasets. Developed scalable ELT transformations and automated data quality monitoring frameworks, reducing reconciliation discrepancies by 24%.
Built distributed telecom event ingestion pipelines using Apache Kafka and Apache NiFi, capturing nearly eight million daily network records. Engineered scalable batch processing workflows with Apache Spark on Databricks and designed dimensional data warehouse models in Azure Synapse Analytics.
Education
Degrees, certifications, and relevant coursework
San Jose State University
Master of Science, Data Analytics
2023 - 2025
Master of Science in Data Analytics from San Jose State University, 2023 to 2025.
Vellore Institute of Technology
Bachelor of Science, Computer Science
2019 - 2023
Bachelor of Science in Computer Science from Vellore Institute of Technology, 2019 to 2023.
Tech stack
Software and tools used professionally
Amazon Redshift
Azure Synapse
Apache Spark
AWS Glue
Apache Flink
Apache Hive
Microsoft Azure
Google Cloud Platform
Amazon S3
Google Cloud Storage
Azure Storage
Kubernetes
Jupyter
NumPy
Pandas
dbt
Hadoop
Google Analytics
Databricks
Terraform
Kafka
Apache NiFi
Google Cloud Pub/Sub
AWS Lambda
Microsoft Excel
Airflow
Google BigQuery
Amazon Web Services (AWS)
SQL
SciPy
Apache Iceberg
Delta Lake
Great Expectations
Trino
Apache Hudi
Bash
Twenty
Factory
Seaborn
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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