Gandhi Prathipati — DevOps Engineer
Cloud Data Engineer, passionate about leveraging cutting-edge technologies to architect and optimize data solutions that drive strategic insights and decision-making. With a strong foundation in cloud computing, particularly within the AWS ecosystem and Databricks, coupled with extensive experience in traditional ETL methodologies, I excel in delivering scalable, high-performance data pipelines and analytics solutions tailored to meet the unique needs of enterprise clients. • Proficient in designing, implementing, and managing robust data architectures on AWS, including EC2, S3, Redshift, Glue and Databricks. • Skilled in developing end-to-end data pipelines utilizing AWS services such as Lambda, Managed Apache Airflow (MWAA), and Athena for real-time and batch processing. • Extensive experience in traditional ETL tools and processes, including Informatica and IICS ensuring seamless data integration across heterogeneous systems. • Strong proficiency in SQL, Python, and Spark for data manipulation, transformation, and analysis, enabling actionable insights extraction from large and complex datasets. I've spearheaded the development of modern cloud data lake solutions using AWS tech stack that transformed HR operations, enhancing both employee and recruiter experiences. By consolidating disparate HR data sources like Workday, HR Acuity and eightfold, I've empowered organization to make data-driven decisions and drive strategic HR initiatives. I'm an adaptable IT professional with a keen focus on crafting bespoke solutions tailored to enterprise needs. I excel at driving value and efficiency within the enterprise ecosystem, whether it's proof-of-concepts (POVs) or customized implementations, I'm committed to delivering results that meet and exceed enterprise expectations. My goal is to continue leveraging my expertise in cloud data engineering and domain knowledge across finance, HR and IT to drive innovation and value creation for enterprise clients.
Stackforce AI infers this person is a Cloud Data Engineer specializing in enterprise data solutions within the SaaS industry.
Location: Hyderabad, Telangana, India
Experience: 13 yrs 8 mos
Skills
- Databricks
- Informatica Cloud
- Oracle Database
Career Highlights
- Expert in AWS and Databricks for data solutions.
- Proven track record in optimizing data pipelines.
- Strong background in traditional ETL methodologies.
Work Experience
Qualcomm
Lead Data Engineer (1 yr 6 mos)
Senior Data Engineer (4 yrs 9 mos)
Tech Mahindra
Senior Software Engineer (3 yrs)
Capgemini
Senior Software Engineer (3 yrs 10 mos)
Magna Infotech - A Quess Company
Senior Software Engineer (7 mos)
Education
Bachelor of Technology - BTech at Jawaharlal Nehru Technological University