Abuzar Shaikh — DevOps Engineer

I’m a Lead Data Engineer with a track record of designing and scaling high-performance data pipelines that power quantitative research, HFT systems, AI/ML engineering platforms, and big data analytics. Skilled in Python, C++, SQL, Bash, and modern DevOps practices, I specialize in solving problems where low latency, data quality, and scalability are non-negotiable. In my current role, I’ve architected pipelines processing 10TB+ of daily data, built ETL workflows with Prefect, automated monitoring with Apache Superset, and delivered CI/CD pipelines that keep deployments fast and reliable. From optimizing nanosecond-level performance with multithreading in C++ to unifying data across CSV, JSON, Parquet, and PCAP formats, I engineer solutions that keep teams ahead in highly competitive trading environments. Previously at AlphaGrep Securities, I led initiatives to modernize ETL pipelines, migrate legacy systems to state-of-the-art HPC infrastructure, and streamline vendor data integration (Bloomberg, Refinitiv, Options Metrics). I also built frameworks for data validation, analytics dashboards, and real-time querying, helping quants and researchers work faster with greater accuracy. Beyond building systems, I take pride in mentoring Python developers and analysts, advocating for clean, Pythonic code, and embedding best practices in software engineering, testing, and maintainability. My goal: to transform messy, high-volume data into reliable, actionable, and real-time insights—bridging the gap between engineering and decision-making. Let’s connect if you’re working on data engineering, quant systems, ETL/CI/CD pipelines, or high-performance computing and want to explore how to make data work smarter, faster, and better.

Stackforce AI infers this person is a Fintech Data Engineer specializing in high-frequency trading and data pipeline architecture.

Location: Mumbai, Maharashtra, India

Experience: 6 yrs 1 mo

Skills

Data Engineering
High-frequency Trading
Data Analytics

Career Highlights

Architected high-performance data pipelines for HFT.
Mentored engineers to elevate coding standards.
Delivered real-time insights from complex data.

Work Experience

Undisclosed HFT

Lead Data Engineer (1 yr 11 mos)

AlphaGrep

Associate - Data Engineer (5 mos)

Senior Analyst - Data Engineer (1 yr)

Analyst - Data Engineer (1 yr 1 mo)

DSW | Data Science Wizards

Data Science Intern (3 mos)

KASMASOFT

Software Development Engineer Intern (10 mos)

National Informatics Center(Mumbai)-Govt. of India

Machine Learning Intern (7 mos)

Digit College Ambassador Program

Campus Ambassador (1 yr 4 mos)

CodeChef

Campus Chapter Leader (1 yr)

Education

Bachelor's degree at MH Saboo Siddik College of Engineering

HSC at MH Saboo Siddik Jr College

SSC at Padua High School

Abuzar Shaikh

DevOps Engineer

Mumbai, Maharashtra, India6 yrs 1 mo experience

Key Highlights

Architected high-performance data pipelines for HFT.
Mentored engineers to elevate coding standards.
Delivered real-time insights from complex data.

Stackforce AI infers this person is a Fintech Data Engineer specializing in high-frequency trading and data pipeline architecture.

Contact

Skills

Core Skills

Data EngineeringHigh-frequency TradingData Analytics

Other Skills

AWSAgileAgile EnvironmentAgile MethodologiesAgile Project ManagementAmazon Web Services (AWS)BashC (Programming Language)C++Cascading Style Sheets (CSS)ClickHouseCommunicationComputer ScienceComputer VisionContinuous Integration and Continuous Delivery (CI/CD)

About

Experience

6 yrs 1 mo

Total Experience

1 yr 4 mos

Average Tenure

Current Experience

Undisclosed hft

Lead Data Engineer

Dec 2023 – Nov 2025 · 1 yr 11 mos · Mumbai · On-site

Architected and scaled a 10TB+/day data platform, normalizing diverse formats (CSV, Parquet, JSON, PCAP) into unified schemas for seamless querying and analysis.
Engineered nanosecond-level low-latency pipelines using C++ multithreading, Python multiprocessing, and custom schedulers, ensuring real-time data delivery in high-frequency trading.
Integrated AI/ML tools into data workflows to automate quality checks and optimize resource allocation, cutting manual intervention and improving pipeline execution speed.
Led a cross-functional team of data engineers, Python developers, and analysts; built monitoring solutions (Apache Superset), ETL workflows (Prefect), and CI/CD pipelines.
Mentored junior engineers on writing performant, Pythonic, and maintainable code, raising team coding standards and accelerating delivery.

SQLC (Programming Language)DevOpsClickHouseData InfrastructureTeam Management+16

Alphagrep

3 roles

Associate - Data Engineer

Jul 2023 – Dec 2023 · 5 mos · Mumbai, Maharashtra, India

Built high-volume data processing apps in Python, C++, and Bash, reducing data delivery times and accelerating research cycles for equity, futures, and options.
Designed and deployed data quality frameworks using Pandas and Plotly, ensuring clean, validated datasets for quant researchers across multiple asset classes.
Migrated legacy systems to HPC infrastructure, increasing throughput and reliability while modernizing architecture for scalability.
Mentored new engineers on technical/functional aspects, improving onboarding speed and team productivity.

LeadershipStatistical ModelingHigh-Frequency TradingData InfrastructurePythonData Acquisition+12

Senior Analyst - Data Engineer

Promoted

Jul 2022 – Jul 2023 · 1 yr · Mumbai, Maharashtra, India

Redesigned database architecture and migrated to high-performance OLTP systems (Clickhouse) and in-memory databases, boosting query speed and reliability.
Developed custom querying tools (Bash binaries + Python libraries), saving quant researchers hours per week in manual data work.
Streamlined vendor data pipelines (Bloomberg, Refinitiv, Options Metrics, co-located servers), delivering normalized, production-ready datasets for quants.

SQLData InfrastructureData AnalyticsGoogle Cloud Platform (GCP)ETL ToolsSoftware Development+11

Analyst - Data Engineer

Jun 2021 – Jul 2022 · 1 yr 1 mo · Mumbai, Maharashtra, India

Modernized ETL setups with Prefect, adding robust logging and alerting, improving pipeline reliability and failure recovery.
Owned end-to-end data for US, EU, and CN markets — including databases, ETL, and stakeholder communication — ensuring timely and accurate delivery.

SQLComputer ScienceHigh-Frequency TradingSoftware DevelopmentSkill DevelopmentPython (Programming Language)+7

Dsw | data science wizards

Data Science Intern

Nov 2020 – Feb 2021 · 3 mos

Built and deployed ML & Deep Learning models using NLP and CNN for real-world applications using Python, Flask, REST APIs, and AWS.
Delivered production-grade ML workflows, improving automation and prediction accuracy.

Remote WorkSoftware Development Life Cycle (SDLC)DocumentationStatisticsTactical TrainingData Visualization+2

Kasmasoft

Software Development Engineer Intern

Jul 2020 – May 2021 · 10 mos

Developed an IT Service Management System (Python Django + MongoDB) used by 100+ employees, improving workflow efficiency and IT operations.
Applied Agile/Scrum practices to deliver iterative, production-ready features.

SQLRemote WorkSoftware DevelopmentSoftware Development Life Cycle (SDLC)DocumentationGit+4

National informatics center(mumbai)-govt. of india

Machine Learning Intern

Jan 2020 – Aug 2020 · 7 mos · India

Developed time-series forecasting models (ARIMA, VAR, LSTM) for weather prediction using meteorological data.
Improved accuracy of forecasts, supporting data-driven decision-making for regional authorities.

Software Development Life Cycle (SDLC)DocumentationStatisticsGitTactical TrainingData Visualization+1