Bhoomika Wavhal

Data Engineer

Pune, Maharashtra, India6 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Led successful migration of Oracle data warehouse to GCP.
Increased production speed by 80% through process automation.
Developed data pipelines for machine learning models in GCP.

Stackforce AI infers this person is a Data Engineer specializing in cloud migration and big data technologies within the Fintech industry.

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Skills

Core Skills

Google Cloud Platform (gcp)Data EngineeringCloud MigrationMachine Learning

Other Skills

PySparkAirflowPythonSQLTerraformBigQueryInformaticaAutoMLGCPSystem ArchitectureComputer ScienceOptimizationFinancial AnalysisSocial Network AnalysisData Mining

About

As a Data Engineer at Deutsche Bank, I have been involved in designing and implementing a strategy for moving on-premise infrastructure to Google Cloud Platform (GCP), using tools and technologies such as Python, SQL, Terraform, Airflow, and BigQuery. I was part of UNITY, a project that successfully migrated PostBank Germany's applications and databases to Deutsche Bank's infrastructure, enhancing the performance, scalability, and security of the cloud-based systems. I have a strong foundation in programming and problem-solving, thanks to my Bachelor of Technology degree in Electronics and Communication from Shreemati Nathibai Damodar Thackersey Women's University. I started coding when I was 17 and since then, I have been creating online applications that solve real-world challenges. I am also a Public Speaker and a Microsoft Learn Student Ambassador, a global group of campus leaders who help fellow students and create robust tech communities. I am always curious to learn cutting-edge technology and grow as a professional.

Experience

6 yrs

Total Experience

1 yr 7 mos

Average Tenure

4 yrs 9 mos

Current Experience

Deutsche bank

3 roles

Associate

Apr 2024 – Present · 2 yrs 2 mos

Lead the execution of PySpark mappings to DataProc via Airflow also implemented the facility to access Spark Job logs for easy debugging of issues on production environment. Developed a reusable tool to streamline Airflow DAG creation process process for code standardization. Leveraged tools like Python, SQL, Terraform, Airflow, and BigQuery to design and execute a successful strategy for automating the migration of an Oracle on-premise data warehouse to GCP BigQuery. This migration enhanced performance scalability by 70%.

PySparkAirflowPythonSQLTerraformBigQuery+2

Senior Analyst

Promoted

Nov 2022 – Mar 2024 · 1 yr 4 mos

Collaborated with a team of engineers to develop and implement new procedures to convert Informatica mappings to PySpark. This transformation not only eliminated manual errors but also increased production speed by 80%. Contributed to the successful go-live of UNITY project, which successfully migrated PostBank Germany’s applications and databases to DB’s infrastructure, enhancing the performance, scalability, and security of the cloud-based systems. Performed in-depth analysis for business to on-board new-source system in Bank's Datawarehouse. Designed and implemented a strategies for moving Oracle on-premise data-warehouse to Google Cloud Platform (GCP) BigQuery, using tools and technologies such as Python, SQL, Terraform, Airflow, and BigQuery. Trained new hires on services used by the project so that they can settle in quickly and work efficiently.

PySparkInformaticaPythonSQLTerraformAirflow+3

Graduate Analyst

Jul 2021 – Oct 2022 · 1 yr 3 mos

Developed and implemented data pipelines to support machine learning prediction models using AutoML in GCP. Worked with the team to design and implement a strategy for migrating on-premise infrastructure to Google Cloud. Created reusable code modules to enhance development efficiency and improve code maintainability. Developed expertise in Google Cloud Services, particularly in the realm of Big Data Technologies, leading to a 45% improvement in performance.

AutoMLPythonGCPBigQueryData EngineeringMachine Learning