
Data Engineer
His key achievements include developing a Change Data Capture (CDC) solution in AWS Glue for seamless Oracle-to-S3 synchronization, migrating GCP Data Prep workflows to BigQuery using stored procedures, and optimizing costly Alteryx workflows by implementing scalable PySpark solutions. These contributions have significantly improved efficiency and reduced operational costs.
With a strong technical background and a strategic approach to data engineering, Mani consistently delivers high-impact solutions that enhance data reliability, scalability, and cost-effectiveness.

● Designed, implemented, and maintained data integration and ETL (Extract, Transform, Load) pipelines to move and transform data between various systems and databases.
● Ensured data quality, consistency, and reliability by performing data validation and error handling within integration workflows.
● Created and managed workflows using Apache Airflow, scheduling and orchestrating data integration tasks, ensuring timely execution, and monitoring job statuses.
● Customized and optimized Airflow DAGs (Directed Acyclic Graphs), Apache Ni to meet specific data pipeline requirements..
● Utilized Snowflake data warehousing platform for data storage and processing, including creating and managing databases, schemas, and tables.
● Worked on Snowflake stages for data ingestion and developed efficient data loading strategies.
● Developed and optimized complex SQL queries to extract, transform, and analyze data from databases
● Implemented performance tuning techniques to improve query execution times and optimize database performance.
● Wrote Python scripts and code to automate data extraction, transformation, and loading processes.
● Developed custom Python functions, Scala and modules to perform data manipulations and transformations.
● Managed data transfers between systems via SFTP and API integrations.
● Dealt with various data file formats, including Parquet, CSV, SAV, and GZ, ensuring compatibility and efficient processing.
● Conducted data type conversions and transformations to prepare data for analysis and reporting.
● Ensured compatibility between data types used in source and target systems
Tous les Data Engineers qui ont postulé chez Proxify sont notés de 0 à 300 en excellence en ingénierie, l'un des cinq paramètres que nous évaluons. Ce score reflète uniquement l'excellence en ingénierie, basée sur des entretiens, des exercices à domicile, des sessions de codage en direct, et/ou des évaluations de performance en poste. La courbe montre comment tous les Data Engineers évalués sont répartis sur cette plage, où se situe notre seuil d'acceptation pour ce paramètre, et où se situe Mani.

Issued Sep 2022 - Expires Sep 2025
Credential ID SVGGQQF1ZNE1QCWK

Issued Sep 2022 - Expires Sep 2025
Credential ID SVGGQQF1ZNE1QCWK
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