Prasad Karad

Currently have 3.8 years of experience in Tech working as a Data Engineer. Below is a short summary of my work experience.

● Deployed an Intelligent Automated Alerts mechanism for critical business application using Python on AWS Glue which improved service level delivery for business continuity.

● Deployed cost-effective automation on AWS EC2 for data cleanup as part of scheduled monthly activities.

● Deployed a Python script that backups data from AWS EC2 to AWS S3 for housekeeping of disk usage on AWS EC2.

● Deployed a Python script on Linux server that monitors and sends email alerts for failures, long-runs of ETL process via SMTP module.

● Orchestrated a Cloud Automated Flow that triggers a PowerBI dataset refresh on an event-based trigger using Microsoft PowerAutomate.

● Resolved over 100+ Platinum application Incidents based on data quality issues (Talend/DBT) on ServiceNow.

● Resolved over 75+ dashboard/reporting tool issues (Qlik/PowerBI/Tableau) with EMEA Clients on call as well as Ad hoc service requests on ServiceNow.

● Successfully resolved data discrepancies by analyzing data flow on Talend Studio and backtracking using SQL(Postgres/Redshift) querying and logical thinking.

● Deployed newer versions of business applications in Production and QA multiple times as part of CI/CD using BitBucket, Jenkins and Linux.

● Deployed an automation that made file transformations daily on newly fetched data and created a summarized extract that end users could access directly from Sharepoint using python with a single click.

● Hands on experience on various BI tools like PowerBI, Tableau, Qlik, Airflow, Control-M for data visualization, data integration and orchestration and monitoring.

● Hands on with Talend Studio and TAC which involves services like data integration, data management, enterprise application integration, data quality, cloud storage. 

Skills: Python, SQL, Data Warehousing, ETL, Data Analytics, Automations, ServiceNow, Problem Solving Frameworks: AWS-(S3, Glue, Lambda, SNS, CloudWatch, EC2, Redshift), Power BI, Tableau, Qlik, PySpark (basics) Project Management: Bitbucket, Jenkins, Confluence, Jira.