"Experienced software professional with over 10 years in designing, developing, and implementing robust data engineering pipelines and analytics solutions. Skilled in Cloud technologies (Google Cloud Platform, AWS), Big Data ecosystems (Hadoop, Spark), and programming languages including Python, Java, Scala, and SQL. Proven expertise in optimizing Spark applications, real-time data processing with Kafka, and building resilient ETL pipelines. Strong background in distributed systems architecture and Agile methodologies, with proficiency in SQL Server, MSBI stack, and Power BI for business intelligence. Passionate about leveraging data to drive actionable insights and business outcomes."Key Achievements:Designed and implemented scalable data engineering pipelines leveraging Hadoop ecosystem tools like HDFS, MapReduce, Yarn, Spark, Sqoop, Hive, and Kafka, resulting in streamlined data processing and analysis workflows.Optimized Spark applications to significantly improve performance, leveraging techniques such as RDD APIs, DataFrames, Spark SQL, and Spark Streaming, enhancing efficiency and reducing processing times.Successfully implemented end-to-end ETL processes using IICS Data Integration, ensuring data quality, reliability, and timely delivery of insights to stakeholders.Played a key role in cloud migration projects, proficiently working with Google Cloud Platform (GCP) and AWS services (EMR, Redshift, S3, Athena, Glue) to optimize costs, improve scalability, and enhance data accessibility.Expertise in data warehousing and business intelligence technologies, including SQL Server, MSBI stack (TSQL, SSIS, SSAS, SSRS), Azure, and Power BI, enabling comprehensive analysis and reporting capabilities for informed decision-making.Demonstrated proficiency in Agile methodologies (Scrum, Agile) and waterfall models, ensuring alignment of software development processes with business objectives and delivering projects on time and within budget.Actively involved in mentoring and training team members on best practices in data engineering, Big Data technologies, and Agile methodologies, fostering a collaborative and knowledge-sharing environment.
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Data Engineer And SnowflakeVizioDallas, Tx, Us -
Data Engineer/SnowflakeVizio Nov 2022 - PresentDallas, Texas, United StatesI have developed generic Spark Ingestion code for querying data from various sources (Oracle, Teradata, SAP, RDS) and writing it to AWS S3. My expertise includes providing end-to-end solutions for Enterprise Data Management, including Data Architecture, Quality, Governance, Metadata Management, and Data Modeling. I have experience with Agile Data Modeling methodology, DevOps pipelines for Salesforce, and tools like Chef, Puppet, Ansible, Docker, and Kubernetes. I have also utilized AWS services and developed and consumed REST/SOAP Web Services. My skills extend to Spark streaming, Elasticsearch, D365 SQL Azure integration, PowerApps DevOps on Azure, and Informatica PowerCenter. I am proficient in ETL processes, Airflow for orchestrating ETL jobs, Snowflake, Hadoop, Cassandra, Google Cloud APIs, Docker orchestration, and machine learning models. I have worked extensively with data warehousing, Big Data, and cloud platforms, employing best practices to optimize performance and ensure data quality.
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Azure Data EngineerWestern Union Jan 2020 - Oct 2022Coppell, Texas, United StatesData Engineer & Cloud Architect | Expert in Snowflake, AWS, and Big Data SolutionsSeasoned Data Engineer and Cloud Architect with extensive experience in all phases of the SDLC, specializing in building and optimizing scalable data pipelines and cloud-based data warehousing solutions. Proficient in Snowpark, AWS, and Apache Spark, with a strong background in ETL design, data transformation, and integration across diverse data platforms. Adept at leveraging modern cloud technologies like AWS and GCP to enhance data workflows, ensure data security, and streamline analytics. Proven track record in deploying CI/CD pipelines, managing NoSQL databases, and implementing machine learning models directly within Snowflake for real-time processing and analytics. -
Data EngineerKnoah Solutions Mar 2015 - Jul 2018Hyderabad, Telangana, IndiaSeasoned data engineer with hands-on expertise in designing, developing, and optimizing robust software solutions within Hadoop clusters. Proficient in leveraging Spark, Hive, and HBase to build efficient data pipelines for ingestion, transformation, and analysis. Experienced in Spark Streaming for real-time data processing from AWS S3, enhancing performance through Spark SQL, DataFrames, and Yarn. Skilled in ETL development with Snow SQL and proficient in converting Hive/SQL queries to Spark transformations. Proven track record in ensuring data quality and optimizing code for improved performance and efficiency." -
Bi Data AnalystKelly Max Sep 2013 - Feb 2015Hyderabad, Telangana, IndiaData Analyst & BI Specialist | Expert in Data Modeling, ETL, and Advanced AnalyticsExperienced Data Analyst and BI Specialist with a strong focus on improving user experience and optimizing retention through data-driven insights. Proficient in designing and maintaining MySQL databases, optimizing PL/SQL code, and building complex ad-hoc queries. Skilled in developing dashboards using Tableau and Power BI, managing data pipelines with tools like Apache Airflow, and implementing advanced machine learning models using Python and Spark. Adept at working with diverse data sources, including AWS, Hadoop, and NoSQL databases, to deliver actionable insights and support strategic business decisions.
Saritha K Education Details
Frequently Asked Questions about Saritha K
What company does Saritha K work for?
Saritha K works for Vizio
What is Saritha K's role at the current company?
Saritha K's current role is Data Engineer and Snowflake.
What schools did Saritha K attend?
Saritha K attended Jawaharlal Nehru Technological University, University Of North Texas.
Who are Saritha K's colleagues?
Saritha K's colleagues are David Chun, Krishna Rayapudi, Robin H, Patrick Payabyab, Amy Cameron, Melissa Grubb, Daisy Hamilton Risher.
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