SPSagan Pariyar
@saganpariyar
TechLead (Data Engineer) at Cimpress
Bangalore, Karnataka
Sagan Pariyar is a Data Engineer with 8 years of experience specializing in distributed systems and large-scale data processing. He has a proven track record of architecting big data applications using cloud technologies, including Spark, Kafka, and HBase. His expertise covers backend REST services, Docker, and Kubernetes environments.
Experience
Lead Data Engineer
Cimpress
Leading the Product Recommendation and Customer Segmentation domain. Working mainly over business problems for easy deployment and Optimizations of ML Models using Big Data with Cloud technologies. Technologies: Databricks, Kedra pipeline, AWS Personalize, Lambda, Gitlab.
Big Data Project Lead / Big Data Lead Engineer
Autogrid India
Managed predictive asset maintenance using AWS infrastructure (Kinesis, Lambda, Sagemaker). Developed ETL pipelines and managed backend REST APIs using Pyspark and AWS Step Functions. Also served as Scrum master and Product owner. Key projects included: Data Processing and Connector Tools (ingesting data from various sources to HBase using Python, docker, K8s, kafka, Oozie) and BI-Tool (designing and developing a big data based BI-tool using Pyspark, sqoop, Hive, Oozie).
Sr. Big Data Engineer
Fractal Analytics
Worked on Social Media Analytics, analyzing user comments and reviews to determine user sentiments. Worked with SparkSQL, HIVE, Excel, and PPT for client interactions. Also worked on Connected Intelligence/Transformation Accounts, enhancing productivity through cross-sell/up-sell using various data sources.
Software Engineer
Citius Tech
Worked on Big data POC's and Java based REST apps. Played a key role in designing the system for various Spring Boot REST applications.
Education
VJTI
Bachelor of Technology
N/A
Thakur polytechnic
Diploma in Comps
N/A
MMHS
High School
N/A
Licenses & Certifications
AWS Infrastructure Big data training
Spark training
Micro service training
Coding principles and design patterns
Scrum master training