Rahul Mishra
Big Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Big Data Engineer
Staff / Principal-Level Data & Platform Engineer with 14+ years of experience designing and operating large-scale data, observability, and analytics platforms in cloud-native environments. Currently at ServiceNow, I am the architect and technical owner of next-generation observability and alerting platforms, leading the migration from legacy data systems to Kubernetes-based, cloud-native architectures. My work focuses on intelligent observability and AIOps, including: - ML-driven anomaly detection and adaptive alerting to reduce alert noise - AI-assisted root cause analysis and incident summarization to improve MTTR - High-scale metrics and analytics platforms processing hundreds of TB per day I specialize in designing cost-efficient, resilient data platforms using AWS, Kubernetes, Spark, Kafka, and modern time-series databases, with a strong emphasis on operational excellence, reliability, and automation. Beyond architecture, I actively influence platform standards, conduct design reviews, and mentor senior engineers across teams.
Savitribai Phule Pune University
Master's Degree, Computer Science
N/A – Present
ServiceNow
Senior Bigdata Engineer
September 1, 2021 – Present
Tata Consultancy Services
Information Technology Analyst
August 1, 2015 – September 1, 2021
Pune/Pimpri-Chinchwad Area
Infosys
Technology Analyst
February 1, 2013 – July 1, 2015
India
Cultural Fit Analysis
The candidate has worked for large, reputable companies (ServiceNow, TCS, Infosys) and has experience leading migrations and introducing new technologies, suggesting adaptability and a proactive approach. The diverse project experience, from on-prem Hadoop to cloud-native Kubernetes, indicates a broad technical exposure and willingness to embrace new paradigms. The role as 'Senior Bigdata Engineer' aligns perfectly with the target role, demonstrating a clear career progression in the Big Data domain.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership in technical ownership, architectural design, mentoring, and driving best practices, indicating strong operational fit and leadership potential. The focus on reducing alert noise, MTTR, and improving on-call experience suggests a strong problem-solving and reliability-oriented mindset.