Open to opportunities

PRANAV ACHARYA

@pranavacharya

Message

Results-driven Data Engineer with 5+ years of multi-cloud experience.

India

Message

What I'm looking for

I am looking for opportunities that foster innovation and allow me to utilize my data engineering skills in a collaborative environment.

I am a results-driven Data Engineer with over 5 years of experience specializing in multi-cloud environments, particularly AWS and Azure. My expertise lies in data migration, ETL pipelines, and cloud-native solutions, where I have successfully led projects that significantly reduced costs and improved performance. At Deloitte, I spearheaded the migration of on-premises systems to Azure, creating a Customer 360 Data Asset that enhanced operational efficiency by 40%.

Throughout my career, I have developed scalable ETL workflows and real-time data pipelines, ensuring timely and accurate data delivery for various industries, including BFSI and Life Sciences. My technical proficiency in tools such as Azure Data Factory, Databricks, and AWS Glue, combined with my programming skills in Python and SQL, allows me to create robust data solutions that meet complex business requirements. I am passionate about leveraging data for actionable insights and have a proven track record of implementing data governance and automation strategies that drive business success.

Experience

Work history, roles, and key accomplishments

Current

Cloud Data Engineer

Current

Deloitte Touche Tohmatsu India LLP

Oct 2023 - Present (1 year 8 months)

Led migration of on-premises systems to Azure, creating a Customer 360 Data Asset in Azure Data Lake Storage Gen2. Built scalable ETL workflows using Azure Data Factory and Databricks for banking analytics, ensuring timely data delivery. Automated infrastructure provisioning with Terraform and CI/CD deployment through Azure DevOps.

Azure Data Factory Databricks Python Terraform CI CD Azure DevOps Power BI Data Governance

Data Engineer

Cognizant Technology Solutions

Nov 2021 - Oct 2023 (1 year 11 months)

Migrated legacy on-premises systems to AWS, utilizing AWS Glue, S3, and Lambda for data integration. Developed ETL pipelines with PySpark, maintaining high data accuracy. Collaborated with DevOps teams to automate CI/CD pipelines for seamless deployment.

AWS Glue S3 Lambda Pyspark Python CI CD Bitbucket Git Data Integration

Data Engineer

Brillio

Feb 2020 - Nov 2021 (1 year 9 months)

Designed and developed ETL workflows using Informatica for data integration into Teradata data warehouses. Created optimized SQL queries and automated data pipelines with PySpark and Python, improving processing efficiency.

Informatica Teradata SQL Pyspark Python Data Integration ETL Data Modeling Workflow Automation

Education

Degrees, certifications, and relevant coursework

SaIT

Bachelor of Engineering, Computer Science & Engineering

2015 - 2019

Activities and societies: Participated in academic projects, including a major project on a Big Data Clustering algorithm for mitigating the risk of customer churn.

Completed a Bachelor of Engineering in Computer Science & Engineering, focusing on software development, data structures, algorithms, and systems programming.