ILAKKIYAN A V — Operations Associate
Hi, I am an Analytics Engineer with 5 years of experience building scalable data solutions that transform complex data into measurable business value. My work focuses on designing reliable data pipelines, optimizing analytics infrastructure, and leading technical teams to deliver data platforms that organizations rely on every day. What I Do: I bridge the gap between raw data and actionable insights. Using Python, SQL, and modern cloud platforms (AWS, Azure, and GCP), I build end-to-end analytics solutions—from data ingestion and transformation to analytics-ready datasets that power critical business decisions. My approach combines engineering rigor with analytical thinking. I don’t just move data; I ensure it is accurate, well-documented, optimized, and trusted by the teams who depend on it. I strongly believe analytics should be treated as an engineering discipline, not just reporting. Recent Impact: >Delivered a 20% operational cost reduction through data-driven process optimization and cloud infrastructure improvements >Led an 8-person technical team for 3 years while remaining hands-on with data pipeline and analytics development >Architected cloud-native analytics solutions across AWS, Azure, and GCP, ensuring scalability and reliability >Currently integrating AI-enabled analytics, including RAG workflows and agent-based systems, into traditional data environments Technical Expertise: Core Stack: Python, SQL, Databricks, dbt, Power BI Cloud Platforms: Azure (primary), AWS, GCP Data Engineering: ETL/ELT pipelines, data warehousing, data modeling, semantic layers My Background: I began my career in IT operations, working with a wide range of systems—from AS400 legacy platforms to modern cloud architectures. This foundation gave me a strong systems-level perspective and helped me understand both the technical complexity of data engineering and the business context that makes analytics valuable. What Drives Me: I am passionate about the modern data stack, data quality, and building analytics platforms that scale. I thrive in environments where documentation matters, collaboration is valued, and analytics teams are seen as strategic partners, not just report builders. What’s Next: I am seeking my next opportunity as an Analytics Engineer or Senior Data Analyst with forward-thinking organizations in Europe or remote-first companies. If you are building a data team that values technical excellence, scalable architecture, and real business impact, let’s connect. 📧 Open to opportunities | 🌍 Open to relocation | 💼 Remote-friendly
Stackforce AI infers this person is a Data Engineering and Analytics expert specializing in SaaS solutions.
Location: Chennai, Tamil Nadu, India
Experience: 5 yrs 5 mos
Skills
- Data Engineering
- Analytics Engineering
- Machine Learning
Career Highlights
- Delivered 20% operational cost reduction through data-driven insights.
- Led a technical team to build scalable data solutions.
- Expert in integrating AI-enabled analytics into data environments.
Work Experience
DXC Technology
Senior Operations Analyst (4 yrs 7 mos)
ecbee innovations pvt ltd
Software Developer (10 mos)
Education
Bachelor of Arts - BA at Annamalai University
Bachelor of Engineering - BE at S.K.P Institute of Technology, Tiruvannamalai, Tamil Nadu
12th Grade at AKT Academy Matriculation Higher Secondary School, Kallakurichi, Tamil Nadu
10th Grade at Sri Vidya Mandir Matriculation Higher Secondary School, Uthangarai, Tamil Nadu