Vasanth M
@vasanthm
Business Intelligence and Data Engineer skilled in observability, SQL, Python, and cloud analytics.
What I'm looking for
I am a results-driven Business Intelligence and Data Engineer with nearly 2 years of hands-on experience maintaining a large-scale observability platform across 3,000+ applications. My day-to-day work includes SQL-based data analysis, incident metrics, and building real-time monitoring dashboards using Datadog and CloudWatch.
I have strong technical skills in Python (pandas, BeautifulSoup), SQL (window functions, CTEs, joins), Docker, and AWS (S3, EC2, IAM, RDS, VPC, CloudWatch), and I hold an AWS Cloud Essentials Certificate. I have built self-directed BI projects in Tableau and Power BI that demonstrate production-ready dashboards and actionable insights.
At PayPal (via Tata Consultancy Services) I maintained 99%+ uptime across thousands of applications, handled 5–15 incidents weekly, performed root-cause analysis to reduce mean time to resolution, and translated complex telemetry into concise summaries for non-technical stakeholders. I also analysed Kafka event streams and administered Linux systems and database health operations.
I am seeking to transition into Business Intelligence or Cloud/Data Engineering roles where my analytical depth, production-scale data exposure, and ability to turn telemetry into measurable business outcomes can drive impact. I bring practical project experience, a strong foundation in data visualization, and a focus on operational reliability.
Experience
Work history, roles, and key accomplishments
Maintained a large-scale observability platform supporting 3,000+ applications with 99%+ uptime, resolving 5–15 incidents weekly and reducing mean time to resolution through root-cause analysis; produced SQL-based operational reports and translated telemetry into stakeholder-facing summaries.
Education
Degrees, certifications, and relevant coursework
Easwari Engineering College, Anna University
Bachelor of Technology, Artificial Intelligence & Data Science
2020 - 2024
Grade: 8.61 / 10.0
Completed a B.Tech in Artificial Intelligence & Data Science with a CGPA of 8.61/10, focusing on data analysis, machine learning fundamentals, and applied AI projects.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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