I am an Analytics and Data Engineer with 3.5 years of experience working across the modern data stack. I have a BTech Degree in Electrical Engineering from IIT Roorkee.Currently, I am using and sharpening my Data Engineering and Analytics skills at Ernst & Young (EY), supporting a global banking client in building and scaling their ESG Analytics Data Platform. I aspire to become a Data and Solution Architect, with an ambition to design world-class systems and solve data problems at scale. Areas of Interest in Data Engineering Data Modeling: Dimensional Modeling, Medallion Architecture Data Governance: Data Quality, Data Catalogs and Building Lineages. Batch Processing & Custom Orchestration: Airflow-based workflows Query Optimization: SQL and Spark Warehouses, Data Lakes and Lakehouses. Lakehouse & Open Table Formats: Delta Lake, Apache Iceberg Analytics & Reporting: Product and business analytics Business Intelligence & Visualization: QlikSense Automation: Streamlining data operations using APIs and Python scripting ============================================================ Technical Skill Stack On-Premises Stack Languages: Python, SQL, Scala Frameworks and Tools : Apache Spark, Hive, Hadoop, Apache Tez, HDFS, Delta Lake, Pandas, Grafana Workflow Orchestration: Apache Airflow Version Control: Git, BitBucket Cloud Stack – Google Cloud Platform (GCP) Services and Tools: GCS, Cloud Composer, Dataproc, BigQuery, IAM, Delta Lake Infrastructure as Code: Terraform Version Control: Git Project & Process Management Methodologies: Agile Tools: Jira ============================================================ Certifications & Learning Goals Currently Upskilling In Scala Data Observability & Monitoring Data Streaming: CDC, Kafka, Spark Streaming Machine Learning & MLOps Preparing for: GCP Professional Data Engineer Certification and Databricks Data Engineer Associate Exams