Quant Development · Market Data Engineering · AI Systems
I’m Shashidhar Reddy, a senior data engineer with 10+ years of experience. I build real-time pipelines, research-ready market datasets, and Python trading workflows. My current focus is Quantala, my quantitative trading and research platform.
About
Based in Johannesburg, South Africa, I bring experience across financial services, market data, and cloud data platforms. My core stack is Python, SQL, Spark, AWS, and Airflow, with hands-on work in streaming ingestion and systematic trading research.
I’m targeting quant developer, market data engineer, and related data platform roles. At Enable Benefits, I build AI-ready data workflows and integrate LLMs for document analysis and information retrieval. Alongside that work, I’m building Quantala.
South Africa work authorization · Open to relocation across EMEACurrent Focus · Founder / Builder · In Progress
I’m building an end-to-end platform connecting real-time market data, order-flow analytics, systematic strategy research, backtesting, and execution workflows. My focus is the engineering foundation: usable data, testable signals, and observable trading systems.
Broker APIs and order-flow data providers for ticks, futures, order flow, OI, IV, bid/ask, and footprint data.
Redpanda/Kafka-compatible ingestion with compact analytics payloads, compression, and source-specific topics.
ClickHouse raw tables, materialized views, 30s/1m/5m rollups, footprint levels, retention, and replay queries.
Deterministic features: cumulative delta, stacked imbalance, absorption, VWAP, SuperTrend, RSI, IV, and OI context.
The platform architecture connects each stage: capture market events, store replayable data, filter deterministic signals, evaluate quality with AI, and route approved setups through risk-aware execution.
Deterministic candidate generation from 5-minute footprint candles and 1-minute confirmation closes. Strategies stay explainable and testable.
The evaluation layer consumes engineered features and returns structured JSON for storage and analysis.
Execution workflows are separated from strategy logic, with risk checks, trade logging, and outcome tracking for research and evaluation.
Professional Experience
Senior Data Engineer (AI) · Contract
Building AI-ready platforms with Python, Spark, SQL, and AWS. Integrating Llama 3 for document analysis, extraction, summarization, and retrieval across PDFs, APIs, and OCR content.
Market Data Engineer · Remote Contract / Freelance
Developed a market-data pipeline proof of concept for equities, futures, and derivatives. Normalized API and WebSocket data, built strategy and backtesting workflows with transaction costs and slippage, and produced P&L and risk analytics.
Data Engineer · Contract
Built production pipelines supporting the Two-Pot retirement system using Spark, Python, and SQL, with CI/CD, monitoring, and failure notifications.
Senior Data Engineer
Built and operated financial data pipelines with Spark, AWS, Delta Lake, and Airflow. Designed resilient ETL workflows and data models, with responsibility across deployment and operational support.
Data Engineer
Automated Indian equity and derivatives market-data and option-chain collection. Built backtesting frameworks and research datasets with Python, Pandas, PostgreSQL, and AWS.
Big Data Engineer
Built Hadoop and Spark data platforms for airline and travel clients, including TUI and British Airways, using Scala, Hive, and Spark SQL.
Education
Post Graduate Program in Algorithmic Trading, IIQF · 2023–2024
B.Tech in Aeronautical Engineering, JNTU Hyderabad · 2007–2011
Skill Set
Project Portfolio
Streaming market data, order-flow strategies, ClickHouse features, and AI-assisted signal scoring.
AI-ready data platforms, Llama 3 document analysis, multi-format ingestion, and research workflows for a Canadian benefits company.
Big data engineering and analytics for one of the world's leading travel companies.
Senior data engineering for mobile financial services, lending, savings, and EDW workflows.
Cloud data pipelines, production data movement, and analytics engineering.
Get In Touch
Hiring for quant development, market data engineering, or AI-enabled data platforms? Let’s talk. Based in Johannesburg and open to relocation across EMEA.