Akhilesh Chander

DevOps Engineer

Gurgaon, Haryana, India12 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Architected enterprise-grade data engineering platforms.
Integrated LLM-powered analytics for self-service insights.
Over a decade of experience in software development.

Stackforce AI infers this person is a Backend-focused Data Engineer in the SaaS industry.

Contact

akhileshiif007@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringBackend DevelopmentRisk Management

Other Skills

PythonETLData GovernanceData VisualizationGenAIData ProfilingPolarsLarge Language ModelsVBAData AnalyticsCritical ThinkingCapital MarketsComputer ScienceAnalytical SkillsMathematics

About

With over a decade of experience in software development, I’m a Core Backend Developer passionate about building enterprise-scale data engineering platforms. As part of the founding team at SCIKIQ, I have architected and developed critical backend systems powering its AI-native data fabric. My expertise spans: ETL & Data Processing – Designed SCIKIQ’s ETL engine with advanced calculated fields and expression parsing. Data Governance – Built modules for data lineage, profiling, and compliance, ensuring enterprise-grade trust. Visualization & Analytics – Developed the backend for high-performance dashboards using Polars, LDM, and star schema modeling. GenAI in Analytics – Integrated LLM-powered analytics, enabling chat-based KPI creation and self-service dashboards. I specialize in Python, SQL, Polars, Neo4j, and I’m currently expanding into Rust for high-performance systems. My work bridges deep technical engineering with the vision of scalable, intelligent products. Always open to exchanging ideas on data engineering, AI, and platform development. Let’s connect!

Experience

Scikiq

Lead Data Engineer

Oct 2023 – Present · 2 yrs 5 mos · Gurugram, Haryana, India · On-site

I have been part of SCIKIQ from its inception, contributing to the design and development of the platform’s core backend systems. My focus has been on building enterprise-grade modules that power SCIKIQ as a trusted, AI-native data fabric platform.
Key Responsibilities & Contributions:
ETL Platform – Designed and developed SCIKIQ’s ETL engine, enabling seamless, no-code integration of enterprise data across heterogeneous systems.
Calculated Fields Engine – Implemented the expression parser and backend execution layer for calculated fields, allowing complex business logic and advanced transformations within ETL pipelines.
Data Governance – Built robust modules for Data Lineage and Data Profiling, ensuring transparency, compliance, and trust in enterprise data.
Visualization & Dashboarding – Architected the backend for data visualization and analytics dashboards using Polars, incorporating Logical Data Modeling (LDM), star schema, and dimensional modeling for scalable, high-performance BI.
GenAI Studio – Integrated LLM-powered features for natural language-driven KPI creation, dashboard generation, and conversational analytics, enabling self-service insights similar to PandasAI.
Impact:
Established the backend foundation of SCIKIQ, scaling it as an enterprise-ready AI-native data platform.
Accelerated deployment cycles, enhanced governance, and delivered self-service analytics capabilities for enterprise customers.

PythonETLData GovernanceData VisualizationGenAIData Engineering+1

Daaslabs.ai

Senior Data Engineer

May 2018 – Sep 2023 · 5 yrs 4 mos · Gurgaon, Haryana, India

Software Engineer – Product Development (now part of SCIKIQ)
Designed and developed core backend modules for an enterprise data engineering platform, later spun out as SCIKIQ.
Built the ETL engine with calculated fields and expression parsing for large-scale data processing.
Implemented Data Lineage and Governance capabilities, laying the foundation for enterprise-grade compliance and observability.

PythonETLData GovernanceData Engineering

Ikm investor services ltd

Risk Management Executive

Nov 2013 – Mar 2018 · 4 yrs 4 mos · Gurgaon, India

Pioneered the creation of tools designed for seamless management and processing of extensive datasets.
Automated operations to effectively handle operational risks associated with high-frequency trading spread narrowing strategies.
Conducted real-time data analytics and processing, specializing in the Futures and Options domain.
Led research initiatives, identifying trading opportunities and implementing automated entry and exit signals.
Employed data mining, statistical arbitrage strategies, time series modeling, and regression-based models in data science.
Managed both real-time and historical Tick-By-Tick traded data with precision.
Utilized Python, VBA, and Excel to develop and implement innovative solutions.

PythonVBAData AnalyticsRisk Management

Freelancing

Web Content Writer

May 2013 – Oct 2013 · 5 mos · New Delhi Area, India

Critical Thinking

India capital fund research

Equity Research Intern

Apr 2012 – Jun 2012 · 2 mos · New Delhi Area, India

I have worked on identifying and monitoring critical factors and creating and updating database for stock analysis
Finding latest news and updating stock time lines and comparison with stock price

Critical ThinkingCapital Markets