Este es mi perfilContactar via CazVidEste perfil está escrito en inglés
Monika
Data Engineer at MetLife
Contacto
Competencias
Proficient in designing, building, and optimizing scalable ETL pipelines for large datasets.
Extensive experience in writing complex SQL queries and managing relational databases like PostgreSQL and SQL Server.
Skilled in using Apache Spark, Hadoop, Kafka, and related tools for processing big data efficiently.
Strong command of Python, Scala, Java, and Shell Scripting for developing data solutions and automating workflows.
Experienced in using Talend, Informatica, and Airflow for seamless data integration and pipeline orchestration.
Educacion
Resumen
Monika is a skilled Data Engineer with extensive experience in designing and optimizing data pipelines, leveraging tools like Python, Spark, SQL, and ETL platforms to support enterprise analytics and business operations.
Logros Clave
- Built scalable ETL pipelines with Python, PySpark, and SQL, enabling efficient data processing for business analytics.
- Optimized complex SQL queries and indexing strategies, significantly improving data retrieval performance.
- Designed and maintained enterprise-grade ETL workflows using Talend and Informatica, integrating diverse data sources.
- Developed automation solutions for reporting and dashboards, enhancing internal analytics capabilities.
- Supported large-scale data projects supporting business decision-making at MetLife and TCS.
Experiencia
Data Engineer
Built scalable ETL pipelines using Python, PySpark, and SQL to process large datasets and deliver analytics-ready data for business operations.. Optimized complex SQL queries and indexing strategies, improving data pipeline performance by 40%.. Designed secure AWS data architectures using S3, Lambda, and DynamoDB, implementing automated auditing and access control policies.. Developed automated machine learning pipelines integrating Apache Airflow and AWS SageMaker, improving pipeline reliability by 35%.. Implemented predictive models using Spark, TensorFlow, and PyTorch to analyze customer behavior and marketing performance.. Built time-series forecasting pipelines using ARIMA models to support revenue forecasting and strategic planning.. Developed dashboards and analytics APIs using Python and JavaScript to provide real-time insights to business teams.. Implemented CI/CD pipelines using Jenkins, Docker, and Kubernetes to automate deployment and improve code quality.
Data Engineer
Designed and maintained enterprise ETL pipelines using Talend and Informatica, integrating ERP, CRM, and third-party data sources.. Developed complex SQL queries in PostgreSQL and SQL Server to support financial analytics and operational reporting.. Built automated Python scripts and Excel-based analytics models to forecast revenue and track cost variances, improving budgeting accuracy by 15%.. Developed dashboards using Power BI and Tableau, reducing manual reporting efforts by 40%.. Implemented data quality validation frameworks to detect anomalies and improve reliability of analytics pipelines.. Conducted predictive modeling and trend analysis using Python and R, helping optimize supply chain planning and reduce stockouts by 18%.
Data Engineer Intern
Assisted in developing ETL pipelines using Python and SQL for structured and unstructured datasets.. Supported dashboard development and automated reporting solutions for internal analytics teams.. Helped identify data inconsistencies and improve data quality across enterprise systems.