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Video meeting . 15 mins
FREE
Priority DM . 2 days reply
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Video meeting . 30 mins
$30
Video meeting . 30 mins
$30
Video meeting . 60 mins

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Real Interview
$50$70
Priority DM . 2 days reply
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Priority DM . 2 days reply
FREE
Video meeting . 30 mins
$30$40
Video meeting . 30 mins
$30
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About me

● 6+ years of IT industry experience in Data Engineering, Big Data and Data Analytics. ● 6+ years’ experience with Management of operations and different teams. ● 6+ years’ experience with ETL orchestration using Talend. ● Experience working with cloud services MS Azure (Synapse, Data Factory, Data Lake Gen2, Blob Storage, Polybase, Data Warehouse, HDInsight, DataBricks, Azure PowerShell, Azure CLI). ● Experience with cloud services AWS (EC2, S3, RDS, EMR, Lambda, DynamoDB, CloudWatch, Glue). ● Experience working with various Big Data tools like Hadoop, Hive, MapReduce, Spark, Ambari, Sqoop & NoSQL etc. ● Experience working with common industry tools JIRA, Confluence, Git, TFS etc. ● Practical experience working with a variety of SDLC techniques like Agile, CI/CD, Scrum & Kanban etc. ● Expertise with many programming languages like Python (Pandas, NumPy, pymysql, psycopg2, sqlachemy, multiprocessing, multithreading, logging, Plotly), R, C++ & Java. ● Hands on skills with many databases MySQL, MSSQL, Postgres, Teradata & T-SQL etc. ● Expert in implementing Data Analytics & BI solutions using Tableau, Power BI, SAS, SAP etc. ● Designed and developed a system to integrate all data after extracting it from different client sources, transforming it into usable format and then loading it for further analysis. ● Perform complex Analysis to identify the required resources for an upcoming client and forecasting resources for existing clients in future. ● Own and research data for one or more geographic markets by gaining an understanding for industry, clients, and available data sets/providers. ● Identify opportunities to Improve Processes, Strategies with Technology Solutions and streamline operations. ● Query optimization by identifying and applying Indexes & Partitioning where needed.