Priyanka Dinodia

About Priyanka Dinodia

Hi, I\'m Priyanka Dinodia, an experienced Data Engineer with expertise in ETL, data ingestion, data modeling, and data warehousing. I have a strong command of Python, PySpark, SQL, and I am skilled in utilizing Azure Databricks for efficient data processing. Collaborating with cross-functional teams to gather requirements and deliver high-quality data solutions is one of my strengths.My data engineering skills include:Developing and maintaining data pipelines for data ingestion, processing, and analysis using Azure services such as Azure SQL DB and Databricks, resulting in improved data processing time and increased accuracy.Implementing ETL workflows using Python, Pyspark, and SQL to automate data processing tasks, reducing manual effort.Playing a critical role in handling job runs in production, monitoring and troubleshooting failed jobs to ensure smooth data processing.Proficiency in Python, PySpark, SQL, and related data analysis tools, as well as Python visualization libraries and the Linux operating system.Experience with CI/CD deployments for efficient and automated data pipeline deployments.In my previous roles, I have also demonstrated management skills by measuring the effectiveness of marketing campaigns through data analysis, converting complex data into understandable reports, and delivering presentations to clients. Additionally, I have collaborated with cross-functional teams and engaged with stakeholders to align product design with business goals.Furthermore, I have provided guidance and mentorship to team members and students on various technologies, such as Raspberry Pi, IoT, Arduino, 3D printing, game development, and app development.

Experience

1. Data Engineer Ii

   Apexon

   Jun 2021 — Present · Pune, IN

   Designed, developed, and maintained data pipelines for ingestion, transformation, and analysis using Azure Databricks and Azure SQL Database, ensuring efficient data flow and improved data reliability.• Implemented ETL workflows using Python, PySpark, and SQL to automate data processing tasks, minimizing manual effort and enhancing process consistency. • Utilized DBT (Data Build Tool) for building, testing, and deploying modular SQL transformations, enabling standardized and reusable data models.• Managed and monitored production job runs using Apache Airflow and Control-M, ensuring timely execution of daily and monthly batch processes, and resolving issues to maintain smooth data operations.• Proficient in- Programming & Data Tools: Python, PySpark, SQL, Pandas, NumPy- Data Transformation & Modeling: DBT, Databricks, Azure SQL- Orchestration & Scheduling: Apache Airflow, Control-M- Visualization: Matplotlib, Plotly- Operating Systems: Linux• Contributed to CI/CD deployment setups for automating and streamlining data pipeline releases across environments.

Education

• SunBeam Institute of Information Technology, Pune-Karad

  PG-Diploma , Big Data Analytics

• SunBeam Institute of Information Technology, Pune-Karad

  Postgraduate Diploma, BigData Analytics

  2020 — 2021

• Manav Rachna College of Engineering

  Bachelor of Technology - BTech, Computer Science

  2012 — 2016

• J.C. Bose University of Science and Technology, YMCA

  Masters of Technology , Computer networking

  2018 — 2020

• SunBeam Institute of Information Technology, Pune-Karad

  Postgraduate Diploma, Big Data Analytics

  2020 — 2021