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Dilma Manaal

@dilmamanaal

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Python Developer and Data Engineer focused on scalable ETL, cloud data, and analytics solutions.

India

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What I'm looking for

I seek a role where I can build and optimize scalable ETL and cloud data solutions, collaborate in Agile teams, and grow in ML/NLP and cloud data engineering.

I am a Python Developer and Data Engineer with 1+ year of hands-on experience designing and deploying scalable ETL pipelines, cloud-based data solutions, and analytics platforms. I specialize in Azure Data Factory, Databricks, PySpark, and OpenSearch, and I have delivered production-ready solutions in Agile (SAFe) environments.

At Tata Consultancy Services I designed and deployed 50+ automated ETL pipelines, engineered vector embedding and incremental indexing that improved semantic search accuracy by 35%, and processed over 10 million records while implementing audit logging, schema validation, and automated index maintenance. I optimized pipeline performance, reducing execution time by 30% through parallel processing and PySpark transformations.

I bring strong skills in data transformation, validation, ML/NLP, API integration, and cloud data platforms, and I collaborate effectively across teams to translate business needs into robust, maintainable data solutions.

Experience

Work history, roles, and key accomplishments

Current

Python Developer

Current

Tata Consultancy Services

Nov 2024 - Present (1 year 2 months)

Designed and deployed 50+ automated ETL pipelines using Python, Azure Data Factory, and Databricks, processing 10M+ records and improving semantic search accuracy by 35% while reducing reprocessing time by 40%. Optimized pipeline performance to cut execution time by 30% and implemented audit logging and schema validation for production workloads.

Python Azure Data Factory Databricks Pyspark OpenSearch ETL Data Validation

Education

Degrees, certifications, and relevant coursework

Mar Athanasius College of Engineering

Bachelor of Technology, Data Science and Engineering

2020 - 2024

Grade: 8.16/10

Completed a Bachelor of Technology in Data Science and Engineering with a CGPA of 8.16/10, focusing on data engineering, machine learning, and software development.