Sagar Joshi
SDE at AppPerfect Corp- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
Topline Score
Bio
0
/5.0 / Based on 0 ratingsFilter reviews by:
Experience
-
AppPerfect Corp
-
United States
-
Software Development
-
1 - 100 Employee
-
SDE
-
Jun 2020 - Present
Cryptoz.ai Cryptoz.ai is an application providing users with comprehensive, high-quality, actionable market intelligence about the cryptocurrency marketplace. Web application build using C#, .NET, REST API, Moq, HTML/CSS, Cassandra, Selenium Cloud Spend Tracker I am working on FinOps project and contributing in: • Build and manage automated data pipline to ingest and preprocess data for FinTrack Application. • Created a DB Snapshot utility, load-previous utility, setup cron jobs and DB migration scripts. • Created base CRUD apis for FinTrack POC, write SQL queries to return appropriate response. • Debug and fix critical issues with data on production, setup a data validation process. • Worked on few POC for client involving tools like Snowflake(datasource), Amundsen(data discovery), Grafana Prometheus Loki(monitoring). Languages: Python, SQL, javascript Technologies: nodejs, Postgres, Snowflake, CloudSQL, BigQuery, Google Cloud Storage, Cloud Functions Monitoring Dashboard: I have worked on Verizon Software Defined Perimeter (SDP) project, worked closely with client team to build one-stop admin dashboards for there cutting-edge Identify and Access Management solution. • Hands-on knowledge of Version Control Systems like Git, Artifactory, and Atlassian tools like Confluence, Jira, Stash, and Bamboo. • Add new and update existing dashboard panels and charts. • Write SQL queries to fetch data from database and python backend logic to process brfore sending to UI. • Write Splunk Search Processing Language queries to filter and present data on frontend side. Languages: Python, SQL, Splunk Processing Language Technologies: Splunk, SQLite, argparse, Docker Data Pre-procrssing I have worked to create a Data preparation utility to pre-process biotech cell and gene data before dataset goes into machine learning model. Client has included this utility into there existing Machine learning Life cycle Technologies: Python, pandas, numpy, csv reader, logging Show less
-
-
Education
-
College of Technology and Engineering, Udaipur
Bachelor of Technology - BTech, Computer Science