Ashok Kumar Reddy

Data Engineer

Hyderabad, Telangana, India6 yrs 5 mos experience

Key Highlights

5+ years of experience in Big Data engineering.
Expert in data ingestion and validation processes.
Proficient in monitoring and error handling in data workflows.

Stackforce AI infers this person is a Big Data Engineer with expertise in data ingestion and processing.

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Skills

Core Skills

Big DataHadoop

Other Skills

puttygenAzure data factoryhiveUnixPythonServiceNowSFTPSQLdata validationAzure DatabricksMySQLDatabasesApache hiveApache hadoopRemote Desktop

About

Self motivated software professional having 5+ years of experience with cognizant as a Bigdata engineer. We works in 24*7 shifts and delivers data to the end users within SLA time period. Tools and skills used : puttygen,Azure data factory, HDFD,basics of databricks,SQLhive, Yarn,sftp, Hadoop,Unix and shell scripting,basics of python,service now(for reporting an issue and tracking etc). we monitor the jobs ,schedule different types of scripts through crontab schedular and error monitoring and fixes the issue and also we perform the data analysis at regular intervals. Log monitoring and error handling needs to be done regularly. we perform the data validations while the scripts are progressing. We monitor the incidents on service now and works on the user requests. We check data level analysis using hive and SQL,yarn,unix concepts,we perform data analysis based on those concepts. We check latest data availability in hdfs regularly. We also receives the data(files) from different third party sources and we will get it ingested into the Hadoop layer and performs the data checks through hive.

Experience

6 yrs 5 mos

Total Experience

6 yrs 5 mos

Average Tenure

6 yrs 5 mos

Current Experience

Cognizant

Big Data Engineer

Jan 2020 – Present · 6 yrs 5 mos · Hyderabad, Telangana, India · Hybrid

Having 5 years of experience with cognizant as Bigdata Engineer.
We work in 24*7 shifts and delivers data to the end users within SLA time period.
Tools and skills used : puttygen, Cisco VPN, Resource manager,azure data factory portal,azure data bricks,sftp, Hadoop,hive,Unix,basics of python,service now(for reporting an issue and tracking etc.
we monitor the jobs and finds the error and fixes the issue and also we perform the data analysis at regular intervals.
Log monitoring and error handling needs to be done regularly.
we perform the data validations while the batches are running.
We monitor the incidents on service now and works on the user requests.
We check data level analysis using hive and MySQL concepts,we can do data pulling based on those concepts.
We check latest data availability in hdfs regularly.
We also receives the data(files) from different third party sources and we will get it ingested into the Hadoop layer and performs the data checks through hive,we check the row counts and other things if needed.