Detail-oriented Data Engineer with 4.5 years of experience building, implementing, and supporting la
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Detail-oriented Data Engineer with more than 4 years of experience building, implementing, and supporting large-scale data pipelines and analytics systems. Proficient with Python, SQL, Apache Airflow, Kafka, Hadoop, Spark, and cloud-based ETL tools. Proven ability to optimize data workflows, automate ingestion procedures, and assure data quality for analytics and business intelligence. Strong collaborator with expertise in turning business needs into scalable, production-grade data solutions.
Dublin City University
Masters · Computing (Data Analytics)
N/A – June 30, 2023
Mumbai University
Bachelor · Computer Engineering
N/A – June 30, 2018
TechHelp
Data Engineer
January 1, 2024 – June 1, 2025
India
LTIMindtree
Data Analyst
January 1, 2019 – August 1, 2022
Mumbai, Maharashtra, India
IBM Data Engineer Professional Certification
IBM
March 1, 2026 – Present
Introduction to Alteryx
August 1, 2024 – Present
Power BI Desktop for Business Intelligence
Udemy
September 1, 2020 – Present
Advanced Excel for Business & Data Analysis
Udemy
January 1, 2019 – Present
Introduction to Python Programming
Udemy
July 1, 2018 – Present
Complete SQL Bootcamp
Udemy
April 1, 2018 – Present
Cultural Fit Analysis
The candidate's diverse experience across different companies (TechHelp, LTIMindtree) and roles (Data Engineer, Data Analyst) suggests adaptability. Their involvement in mentoring junior engineers and collaborating with stakeholders indicates a team-oriented approach. The breadth of technical skills and certifications aligns well with a dynamic, learning-oriented culture. The focus on data quality and governance also points to a candidate who values robust and reliable systems, which is crucial for operational excellence.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through optimizing data retrieval performance and reducing report refresh times. Their experience in mentoring junior engineers indicates leadership potential and a collaborative mindset. The focus on data quality, governance, and compliance (GDPR) suggests a detail-oriented and responsible approach to data management. The ability to work remotely (TechHelp role) indicates adaptability and self-management.