· Identifying and extracting data from various sources (such as databases, APIs, logs, files, and external systems).
· Ensuring data quality during extraction and handling any anomalies.
· Transforming raw data into a structured format suitable for analysis and reporting.
· Cleaning, aggregating, and enriching data using ETL tools and techniques.
· Implementing business rules and data validation logic.
· Loading processed data into data warehouses, data lakes, or other storage systems.
· Designing and maintaining ETL pipelines to move data efficiently.
· Collaborating with database administrators to optimize data loading processes.
· Designing, developing, and maintaining ETL workflows and pipelines.
· Writing efficient ETL code (Informatica PowerCenter & Informatica BDM) to automate data movement.
· Ensuring scalability, reliability, and performance of ETL processes.
· Profiling and tuning ETL processes for optimal performance. · Identifying bottlenecks and addressing them to improve data processing speed.
· Monitoring ETL jobs, identifying failures, and resolving issues promptly.
· Implementing error handling and logging mechanisms.
· Communicating effectively with cross-functional teams to understand data needs and ensure data consistency and accuracy.
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