Headline

PMP® | Lead Software Engineer @HCLtech | Data Engineering | AWS Certified Data Engineer Associate (DEA-C01) | Microsoft Fabric Analytics Engineer (DP-600) | Microsoft Power BI Data Analyst (PL-300)

About

Data Engineering & Analytics Leader with 12+ years of experience delivering data platforms, analytics solutions, business transformation, and operational improvement initiatives. Experienced in AWS Data Engineering, Microsoft Fabric, SQL, Power BI, Databricks, Python, and modern data architecture, with a strong focus on building scalable data pipelines and trusted data foundations for analytics and AI. PMP®-certified with an MBA in Data Science & Analytics and certifications including AWS Certified Data Engineer – Associate (DEA-C01), Microsoft Fabric Analytics Engineer (DP-600), and Microsoft Power BI Data Analyst (PL-300). Strong track record of translating business requirements into scalable technical solutions while working across engineering, analytics, and business stakeholders.

Location

Germany

AI stack

antigravity

claude

codex

geminicli

github copilot

Napkin AI

Work experience

Lead Data Engineer at HCLTech, Jun 2023 - Present · 3 yrs 5 mos, Bengaluru, As a Senior Analytics Engineer at HCLTech, I design, build, and optimize enterprise-scale data platforms that enable reliable, data-driven decision making across retail and FMCG domains. My role spans the complete data engineering lifecycle, from data ingestion and transformation to orchestration, data quality, performance optimization, and analytics enablement. Key Responsibilities: * Design, develop, and maintain scalable batch and near real-time data pipelines for enterprise data platforms. * Build robust ETL/ELT solutions by integrating data from diverse on-premises and cloud-based source systems. * Develop high-performance data transformation pipelines using SQL, Python, PySpark, and Spark. * Design and optimize cloud-native data warehouse and lakehouse architectures. * Build curated, analytics-ready datasets using dimensional modeling and data warehousing best practices. * Optimize large-scale data processing workloads to improve performance, scalability, and cost efficiency. * Implement automated data quality checks, validation frameworks, reconciliation processes, and monitoring solutions. * Develop workflow orchestration and scheduling pipelines for reliable, fault-tolerant data processing. * Work with structured, semi-structured, and unstructured datasets across enterprise ecosystems. * Participate in Agile ceremonies, sprint planning, estimation, code reviews, and release management. * Contribute to CI/CD implementation, version control, and engineering best practices for modern data platforms. Technologies & Tools Cloud Platforms: AWS Microsoft Azure Microsoft Fabric Data Engineering Snowflake Databricks Apache Spark PySpark Apache Kafka Apache Airflow Data Lakehouse Data Warehousing ETL/ELT Programming & Query Languages: Python SQL Analytics & BI Microsoft Power BI DAX Power Query Analytics Engineering Dimensional Data Modeling

Senior Manager – Data Engineering at K12 Techno Services Pvt. Ltd., Sep 2022 - May 2023 · 9 mos, Bangalore Urban

Manager - Dataops at Unacademy, Apr 2020 - Sep 2022 · 2 yrs 6 mos, Bangalore Urban

Assistant Operations Manager (Data Operations) at HomeLane, Dec 2019 - Mar 2020 · 4 mos, Bangalore Urban, Karnataka, India

Technical Associate at Tesco Bengaluru, Jun 2018 - Sep 2019 · 1 yr 4 mos, Bangalore Urban, Karnataka, India

Education

Master of Business Administration - MBA, Data science, Jain (Deemed-to-be University)

Bachelor of Business Administration - BBA, Financial Mathematics, bangalore university

Public links

github: https://github.com/faizal4757