Abhishek Khari

Product Manager

Mumbai, Maharashtra, India0 mo experience

Key Highlights

Expert in building scalable data pipelines.
Strong backend development skills with Python.
Experience in financial data engineering at a hedge fund.

Stackforce AI infers this person is a Backend and Data Engineer specializing in Fintech data solutions.

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Skills

Core Skills

Data EngineeringBackend DevelopmentData Processing

Other Skills

AWS X-RayAlgorithmsAmazon CloudWatchAmazon Web Services (AWS)CI/CDClickHouseData StructuresDatabase Management System (DBMS)GitGo (Programming Language)GrafanaHIVEHadoopJenkinsJupyter

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Qube research & technologies

QUANTITATIVE TECHNOLOGIST

Jun 2021 – Present · 5 yrs · Mumbai, Maharashtra, India

Built and maintained ingestion pipelines for financial and alternative datasets used in quantitative research and trading.
Contributed to backend server infrastructure supporting scalable querying and dataset access.
Designed and implemented observability dashboards using Grafana, Prometheus, OpenSearch, and AWS X-Ray.
Supported CI/CD tooling and automation to streamline deployments.
Worked with PostgreSQL, ClickHouse, and Redis to manage high-throughput data access.

GrafanaPrometheusOpenSearchAWS X-RayPostgreSQLClickHouse+5

Indian institute of technology, kharagpur

2 roles

Teaching Assistant (OS LAB)

Jan 2021 – Apr 2021 · 3 mos

TA for Operating Systems Lab at CSE department IIT KHARAGPUR

Teaching Assistant (PDS LAB)

Dec 2020 – Mar 2021 · 3 mos

TA for Programming and Data Structures Lab at CSE department IIT KHARAGPUR

Tata consultancy services

Intern

Jun 2018 – Aug 2018 · 2 mos

Worked on the project "Demographic analysis of Aadhar card dataset and Population prediction of a region".
Hadoop distributed file system(HDFS) and MapReduce were used for storing and processing of huge dataset.
HIVE and PIG were used for data partitioning and running desired queries.
Arithmetic and Geometric increase methods were used to predict population density and their impact on environment.