Tony Abraham

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Kerala, India6 yrs 7 mos experience

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Key Highlights

Google Cloud Certified Professional Data Engineer
3 years of data warehousing consultation experience
Expert in designing and developing data pipelines

Stackforce AI infers this person is a Data Engineer specializing in cloud data solutions and data pipeline development.

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Skills

Core Skills

Data WarehousingCloud StorageAmazon Web Services (aws)

Other Skills

PythonGoogle Cloud StorageGoogle BigQueryApache AirflowGoogle Cloud Platform (GCP)C++HiveQLGoogle Cloud DataflowTalend Open StudioGitAWS LambdaAmazon S3Amazon RDSProject ManagementMicrosoft PowerPoint

About

Google Cloud Certified Professional Data Engineer with 3 Years of data warehousing consultation experience. Skilled in "Asking a lot of questions", Problem Solving, and Simplifying Solutions. I usually use Python, SQL, and the skill of asking a lot of questions as my tools for solving clients' day-to-day data problems and C++ when I'm solving DS Algo Puzzles for fun.

Experience

Air india limited

2 roles

Lead Engineer - Data

Promoted

Apr 2023 – Present · 2 yrs 11 mos · Kochi, Kerala, India

Data Engineer

Mar 2023 – Apr 2023 · 1 mo · Kochi, Kerala, India

Quantiphi

Data Engineer

Jul 2021 – Mar 2023 · 1 yr 8 mos · Trivandrum, Kerala, India

I’m responsible for understanding user requirements, designing, developing, testing, and deploying Data pipelines catering to these requirements. We use google cloud storage as our data lake, Biguery as the data warehouse, python for building data pipelines, and cloud composer(Apache Airflow) for orchestrating data pipelines

Data WarehousingCloud StoragePythonGoogle Cloud StorageGoogle BigQueryApache Airflow

Tata consultancy services

Data Engineer

Jul 2019 – Jul 2021 · 2 yrs · Kochi, Kerala, India

I was responsible for understanding user requirements specified through system requirement documents(In case of ingestion of data from sources), user stories, and approach documents (for the transformation of Data). Design, develop, test, deploy and monitor Data pipelines catering to these requirements.
Apart from creating and maintaining data pipelines, I also participated in improving CI-CD pipelines,
creating proof of concepts for various use cases and improving data storage mechanisms in the data
warehouse(HIVE).

Data WarehousingAmazon Web Services (AWS)