Shubham Singh

SRE (Site Reliability Engineer)

Delhi, NCR, India7 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building large-scale analytics data platforms.
Proficient in GCP tools like BigQuery and DataFlow.
Strong background in data science and analytics.

Stackforce AI infers this person is a Data Engineering expert in cloud-based analytics solutions.

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Skills

Core Skills

Data ScienceAnalytics

Other Skills

Text categorizationData analysisMachine learningOptimization modelingTask schedulingWorkforce managementGoogle Cloud Platform (GCP)TerraformTechnical LeadershipMatlabC++WekaMicrosoft OfficePython (Programming Language)C

About

“I build and own large-scale analytics data platforms on GCP—BigQuery, Airflow, Python, Cloud Run, DataFlow, Terraform—focused on reliability, cost efficiency, and downstream consumption

Experience

7 yrs 7 mos

Total Experience

3 yrs 9 mos

Average Tenure

5 yrs 10 mos

Current Experience

Slb

3 roles

Site Reliability Engineer

Jan 2025 – Present · 1 yr 4 mos

Lead Analytics engineer

Promoted

Sep 2022 – Dec 2025 · 3 yrs 3 mos

Analytics Engineer

Jun 2020 – Aug 2022 · 2 yrs 2 mos

Ibm india private limited

Software Developer

Aug 2018 – May 2020 · 1 yr 9 mos · Banglore

Ibm

Summer Intern

May 2017 – Jul 2017 · 2 mos · Bengaluru, Karnataka, India

Transition and Transformation Analytics: Knowledge transfer Assistant
Worked on KT Assistant for maximal discovery of key issues prevalent in client environment.
Developed an issue based text categorization model to extract critical issues from the ticket data.
Obtained compact representation of text, increased immunity against misspelled words & out of context information.

Accenture in india

Summer Intern

May 2016 – Jul 2016 · 2 mos · Banglore

Operation Analytics : Workforce optimization
Modeled task allocation to workforce while optimizing cost & execution time, to support demand.
Designed a constrained model to assign multiple job types to employees with varying skill sets.
Compensated variations in demand by constraining model for optimal holiday schedule.
Generated a daily task schedule for each employee using output from the task allocation model.