Apurv Keshri

Data Scientist

Hyderabad, Telangana, India5 yrs 2 mos experience

Key Highlights

Expert in designing scalable data pipelines.
Proficient in cloud platforms like GCP and AWS.
Strong background in data engineering and automation.

Stackforce AI infers this person is a Data Engineering expert in SaaS with strong cloud computing skills.

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Skills

Core Skills

Data EngineeringCloud ComputingAutomationVersion ControlData Analysis

Other Skills

DockerAmazon S3GCPCloud FunctionPythonBigQueryFlaskGCP Cloud SQLPubSubRedisCloud FunctionsCloud StorageShell ScriptingGoogle DatastreamApache Kafka

About

Expertise in data engineering & software development roles along with cloud platforms such as GCP and AWS. Well equipped to design and implement data pipelines, develop & integrate APIs and build scalable cloud solutions.

Experience

5 yrs 2 mos

Total Experience

1 yr 9 mos

Average Tenure

1 yr 8 mos

Current Experience

Quantium

Senior Data Engineer

Oct 2024 – Present · 1 yr 8 mos · Hyderabad, Telangana, India · Hybrid

Uber

2 roles

Data Analytics Specialist IV (Automation)

Promoted

Sep 2023 – Oct 2024 · 1 yr 1 mo · Hyderabad, Telangana, India · On-site

> Designed & engineered a robust cloud based data pipeline using GCP’s compute engine, Cloud Function and Docker along with Python and BigQuery to tackle API geo-blocking, enabling seamless data flow and healthy supply, which led to the prevention of fine and shutdown in a substantial region.
> Designed & built a scalable and reliable backend of a real-time “data pipeline monitoring” service with backend in Flask, database in GCP Cloud SQL, alerts in PubSub and implemented cache using Redis.
> Led various migrations of the legacy pipelines to newer cloud based infra and streamlined the big data ETL pipelines using Cloud Functions, Cloud Storage and BigQuery, boosting operational efficiency.

DockerAmazon S3Data EngineeringCloud Computing

Data Analytics Specialist III (Automation)

Jun 2022 – Sep 2023 · 1 yr 3 mos · Hyderabad, Telangana, India · On-site

> Automated many critical compliance checks by migrating from scheduled batch process to stream process using serverless Google Datastream, which led to efficiency unlocks & man hours saved.
> Helped in designing and implementing a big data processing pipeline which used Apache Kafka for real-time data streaming, Apache Spark for data processing, and Hadoop for storage and batch processing, enabling data-driven decision-making and improving overall operational efficiency.
> Helped in migrating the existing data pipelines from Python 2 to 3.7 and also in onboarding the code base to Git for improved version control and seamless code review, saving lots of man hours.
> Utilised external and uberinternal REST & gRPC APIs to process and manipulate large datasets using PySpark to meet compliance and regulatory checks on drivers, vehicles and riders.

Shell ScriptingData EngineeringAutomation

Kpmg global services (kgs)

Data Analyst

Apr 2021 – Jun 2022 · 1 yr 2 mos · Gurugram, Haryana, India

> Automated the process of extracting, transforming and loading of various business matrices into the database using Python, SQL & APIs, improving business efficiency and saving a lot of man hours.
> Designed and implemented a monitoring & alerting solution using Python, MySQL and Excel VBA for monitoring ETL data pipelines which supported business intelligence and analytics initiatives.

Python (Programming Language)DatabasesData AnalysisAutomation