Keerthana Annur 🇮🇳 — Product Manager
As a Senior Data Engineer, I work with clients from various domains, such as e-commerce, retail, manufacturing, oil and gas, finance, healthcare, and sales management, to provide data engineering solutions using cutting-edge technologies and tools. I have over 8 years of experience in IT, with a focus on data quality, integration, and transformation using Talend DQ and ETL tools, Big Data processing using Apache Spark, and cloud computing using Azure. I have successfully delivered multiple projects involving data ingestion, extraction, cleansing, validation, and analysis using Hadoop ecosystem tools, such as Hive, PIG, Sqoop, HBase, and Kafka, and databases, such as Vertica, Cassandra, MySQL, and Oracle. I have also developed and deployed scalable and robust data pipelines using Python, PySpark, Scala, and Spark Streaming. I have acquired two Azure certifications and a Databricks certification to enhance my skills and knowledge in data engineering. I am passionate about learning new technologies and applying them to solve real-world problems. I am a team player, a strong communicator, and a leader who can collaborate with cross-functional teams and stakeholders throughout the SDLC.
Stackforce AI infers this person is a Data Engineering expert in the Fintech and Cloud Computing sectors.
Experience: 9 yrs 9 mos
Skills
- Data Architecture
- Apache Spark
- Big Data Analytics
- Data Integration
- Data Quality
- Hadoop
Career Highlights
- Over 8 years of experience in data engineering.
- Expert in building scalable data pipelines.
- Certified in Azure and Databricks.
Work Experience
PayPal
Member of Technical Staff (1 yr 2 mos)
Walmart Global Tech India
Senior Data Engineer (1 yr 5 mos)
EY
Big Data Engineer (2 yrs 7 mos)
Capgemini
Data Engineer (11 mos)
Orcapod
Data Engineer (10 mos)
KPMG India
Software Developer (3 yrs)